Post-Doctoral Research Fellow/Scientist
Data Science Institute, Columbia University
The Data Science Institute (DSI) at Columbia University invites applications for the 2020 cohort of the DSI Post-Doctoral Fellows Program. This program is to produce next-generation leaders in data science. Fellows will carry out independent and novel research in an environment that fosters multi-disciplinary, collaborative research.
Program Goals: For the DSI Post-Doctoral Fellows Program, we seek candidates who are recent Ph.D. graduates and have explicit interests in advancing and/or applying data science to other domains. Prior experience in data science is not required. We are especially looking for candidates with the courage and interest to learn a new field, be part of a select like-minded cohort of fellows, and along with Columbia University DSI members, help define the field of data science for the long-term future. We encourage applications from candidates with diverse backgrounds, experiences, and identities.
Please review our Postdoctoral Fellow page on the Institute’s homepage; there are a number of collaborations with other schools, centers, and institutes at Columbia University. The Data Science Institute encourages candidates who have a specific interest in any one of those collaborative areas to also express such interest within your cover letter.
Link:
https://pa334.peopleadmin.com/postings/6283
Research Scientist (Foundational)
Data Science Institute, Columbia University
We seek research scientists who will conduct independent cutting-edge research in the foundations and/or application of data science or related fields, and/or be involved in interdisciplinary research through a collaboration between the Data Science Institute and the various schools at the University.
Link:
https://pa334.peopleadmin.com/postings/4150
Research Scientist (Translational)
Data Science Institute, Columbia University
We seek research scientists who will serve as Columbia’s resident experts to foster collaborations with faculty across all the schools at Columbia University.
Candidates for professional Officer of Research positions are expected to have established their ability to conduct original, independent scientific research. To hold the senior rank, candidates’ qualifications and contributions to their fields of research must be equivalent to those of a full professor; for the rank of research scientist, associate professor; and for the rank of associate research scientist, assistant professor. All candidates for all Officer of Research positions are expected to be able to work well in teams and to communicate effectively the results of their research or research activities both orally and in writing.
Link:
https://pa334.peopleadmin.com/postings/4150
Endowed Data Science Research Scientist
Data Science Institute, Columbia University
The Data Science Institute of Columbia University invites applications for research scientists at all levels: Associate Research Scientist, Research Scientist, and Senior Research Scientist. This position is endowed and the holder will be named a Endowed Data Science Research Scientist. A successful candidate will serve as a resident expert in data science whose research interests are specifically focused on advancing and applying data science to understanding cancer. The incumbent will foster collaborations with world-class faculty across Columbia’s schools, centers and institutes in order to guide, plan and execute data science research and technological innovation in cancer-related research.
Link:
https://pa334.peopleadmin.com/postings/5930
Postdoctoral Position
Delaware State University
Application of Machine Learning in Optical Physics and Imaging
Tenure Track Open Rank Faculty
Northeastern University
We are searching for two open rank tenure track positions in Chemical Engineering at Northeastern's main campus in Boston.
The Department of Chemical Engineering has research strengths in several thematic areas: (1) Material & Nanotechnology, (2) Biomolecular & Biomedical Systems, (3) Energy & Sustainability, (4) Complex & Computational Systems, and (5) Engineering Education & Pedagogy. We are currently seeking to deepen those research strengths and strengthen the interdisciplinary work between the thematic areas by cluster hiring within the College of Engineering strategic areas of Intelligent Manufacturing, Artificial Intelligence, and Mechanobiology. We have particular interest in candidates who (i) investigate cell-material interactions, cell-cell interactions, or mechano/biology broadly using computational methods, and (ii) use computation and/or ML/AI tools for improved chem/bio processing or manufacturing. Further information and links to apply are available at:
https://coe.northeastern.edu/faculty/faculty-hiring/
Junior candidates will be assigned senior faculty mentors to support the candidate’s professional development and the ADVANCE Office of Faculty Development offers additional resources and affinity groups for faculty across the campus to support a healthy work-life balance and diversity and inclusion in the faculty.
Link:
https://coe.northeastern.edu/faculty/faculty-hiring/
Machine Learning Engineer-Computer Vision
Calico Life Sciences
We are seeking a machine learning engineer to develop and productionize computer vision (CV) algorithms and software tools to analyze biological imaging data sets. Such datasets span a variety of dimensionality (2D images, 3D images, videos) and length scales (physiology to microscopy). This person will be part of a cross-functional effort to build a world-class computing and data analysis platform to support research efforts at Calico. Candidates should be comfortable both with implementing and extending known CV algorithms, and with developing novel, scalable methods to solve difficult questions that help further Calico’s mission.
The ideal candidate should be familiar with state-of-the-art computer vision techniques, including, for example, object detection on images and videos. Candidates should have experience implementing, extending, and debugging CV models, and have expertise in designing and building high-leverage data infrastructure and tools. Candidates will leverage autonomy to learn and apply the latest methods from the broader deep learning literature. Candidates should be able to demonstrate a strong ability to communicate ideas and results, and work cross-functionally to execute on complex projects.
*Ph.D. or MS in Computer Science or related, plus 4-7 years software industry experience
*Experience building and deploying computer vision and video analytics algorithms in instance segmentation, object tracking, 3D object reconstruction, or latent state modelling
*Ability and interest in tracking and applying state-of-the-art techniques in computer vision literature to problems of biological interest
*Experience building visualization tools to debug computer vision models and data processing pipelines
*Expert in TensorFlow and/or PyTorch
*Strong software engineering skills and substantial expertise in Python
Link:
https://www.calicolabs.com/careers?gh_jid=4962448002
Assistant/Associate/Full Professor - AI/Machine Learning For Improved Chemical Processing & Manufacturing - Chemical Engineering
Northeastern University - Department of Chemical Engineering
The Department of Chemical Engineering at Northeastern University invites applications for a new tenure or tenure-track position. We seek outstanding candidates at all levels whose research utilizes computational systems, artificial intelligence, and/or machine learning to address global challenges in chemical processing & intelligent manufacturing. Complex systems research has been identified as a future growth area within our department. Interdisciplinary research on Artificial Intelligence is part of the University’s strategic vision, supported by initiatives such as: the Institute for Experiential AI, funding research fellows in bioinformatics, biomaterials, environmental sustainability, and precision medicine; and Northeastern’s Roux Institute in Portland, ME, which supports graduate education and research in computer and data sciences, digital engineering, and life sciences. Northeastern faculty have access to Discovery, a high-performance computing resource housed in the Massachusetts Green High-Performance Computing Center (MGHPCC) in Holyoke, MA.
The appointment will be in a tenure-track line of open rank. Our faculty support and mentor new faculty hires. All junior candidates will be assigned senior faculty mentors to advocate for the candidate’s professional development. Northeastern’s ADVANCE Office of Faculty Development offers additional resources and affinity groups for faculty across the campus to support a healthy work-life balance.
Link:
https://careers.hrm.northeastern.edu/en-us/job/504176/
Assistant/Associate/Full Professor - Mechanobiology/Computational - Chemical Engineering
Northeastern University - Department of Chemical Engineering
The College of Engineering Department of Chemical Engineering and the College of Science Department of Chemistry and Chemical Biology invite applications for a joint faculty member in computational modeling related to multiscale mechanobiology, cell-cell, or cell-substrate interfaces. The appointment will be in a tenure-track line of open rank, at the assistant, associate, or full level, on the Boston campus. Junior candidates will be assigned senior faculty mentors to support the candidate’s professional development and the ADVANCE Office of Faculty Development offers additional resources and affinity groups for faculty across the campus.
The Departments of Chemical Engineering and Chemistry and Chemical Biology have active research programs spanning energy & sustainability, materials & nanotechnology, healthcare, complex/computational systems, and structural and molecular biology. Faculty within the two Departments have fruitful collaborations with various hospitals, universities, companies, and research facilities in the greater Boston area that add to the vibrancy of our programs and training of our students. Northeastern faculty utilize Discovery, a high-performance computing resource housed in the Massachusetts Green High-Performance Computing Center (MGHPCC) in Holyoke, MA.
Link:
https://careers.hrm.northeastern.edu/en-us/job/504200/
Data Scientist - Nationwide Opportunities
Amazon
Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML)? Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of Amazon who has been pioneering and shaping the world’s AI/ML technology for decades?
At Amazon Web Services (AWS), we are helping large enterprises build ML models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. AWS Professional Services works together with AWS customers to address their business needs using AI solutions.
AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions.
This is a customer-facing role and you will be required to travel to client locations and deliver professional services as needed.
Link:
https://www.amazon.jobs/en/jobs/1273872/data-scientist-nationwide-opportunities?mode=job&iis=Job+Posting&iisn=Indeed+(Free+Posting)&utm_source=indeed.com&utm_campaign=all_amazon&utm_medium=job_aggregator&utm_content=organic&dclid=CJKHsZqDx-0CFZsAaAgdLCYLMg
Manager, Data Science - Forecasting
Amazon
The Amazon Forecasting team seeks a Science Manager with strong leadership and communication skills to join our team. You will lead a team of Machine Learning scientists, statisticians, and data scientists to help us discover and define problems, and apply quantitative solutions to problems to impact the core business of Amazon. You will be working with cutting edge technologies that enable big data and parallelizable algorithms. You will play an active role in translating business and functional requirements into concrete deliverables and working closely with the software development team to put solutions into production.
Link:
https://www.glassdoor.com/Job/new-york-ny-data-scientist-manager-jobs-SRCH_IL.0,11_IC1132348_KO12,34.htm?jl=3446677294&srs=JV_APPLYPANE
Principal Associate, Data Science
Capital One
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making.
As a Data Scientist on Capital One’s People Analytics team, you’ll be on the leading edge of applying analytics to talent, combining machine learning and social science to build strategies that expand Capital One’s talent advantage.
Link:
https://www.capitalonecareers.com/job/-/-/1732/17254632
Manager, Data Science
Capital One
As a Manager Data Scientist in the Retail and Direct Bank, you’ll be part of a high performing team that is working to define the next generation of banking. The Bank Data Science team has a relentless focus on the craft of modeling, coding, and innovation with a target towards continually improving customer experience and delivering value to the business. Using the latest in machine learning and distributed computing technologies, you will be building the next generation of data products to enable automation and aim for the right decision at the right time for in-the-moment action.
Link:
https://www.capitalonecareers.com/job/mclean/manager-data-science/1732/18229044
Data Scientist, Digital
San Francisco and NYC
Digital ML is the data science and machine learning team inside Capital One’s Digital Products organization. We deliver real-time, personalized, intelligent customer experiences in Capital One’s suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.
Link:
https://www.capitalonecareers.com/job/san-francisco/data-scientist-digital/1732/18144253
Director, Data Science, Servicing Machine Learning
Capital One
As the leader of the Servicing ML data science team, you will be the leader of the teams of data scientists responsible for building recommender systems, reinforcement learning, and search, ranking and other models for customer experience optimization.
Responsibilities include:
Lead and mentor teams of data scientists.
Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in production systems that serve 50+ million customers.
Provide thought leadership within and outside of the team, and contribute to the product roadmap for the ML-driven customer experiences of the future.
Write software (primarily Python) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.
Partner closely with a variety of business and product teams across Capital One in domains like marketing, servicing and fraud prevention.
Link:
https://www.capitalonecareers.com/job/vienna/director-data-science-servicing-machine-learning/1732/18138698
Data Scientist | Data and Analytics
EY
We are seeking a Data Scientist to join our Data and Analytics team in our Canberra office. This role is offered on a flexible, full-time basis.
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies and systems that help grow, optimize and protect client organisations. We go beyond strategy, and provide end to end implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
In this role as a Data Scientist you will be part of a culture that focuses on delivering excellence for our clients, whilst using cutting edge technologies. Part of your role will be to translate analytical solution outcomes in the context of business impacts and benefits, whilst working with diverse stakeholders to identify their challenges with data.
Enterprise Data - Financial Data Product Manager
Bloomberg LP
Bloomberg Enterprise Data (ED) is experiencing a prolonged period of unprecedented growth. Our Data and Technology solutions focus upon the acquisition, organization and distribution of data around financial firms. In this role you will be working with the Bloomberg Enterprise Data Product Management Team. We are constantly improving our products, to make them more feature rich and application ready, whilst reducing the total cost of ownership. Product Managers have a high level of business, communication, and technology skills, so that they can create working prototypes, specify Engineering tasks, and work effectively with Sales and Clients.
Link:
https://careers.bloomberg.com/job/detail/87488?qf=data
Senior Data Scientist - Enterprise Technology
Bloomberg LP
Bloomberg’s Enterprise Technology team is responsible for the development and deployment of the global enterprise integration capabilities within Bloomberg. Our enterprise integration offering is a cloud platform for developing and operating global capital markets workflows. This includes message/file integration, API integration for any protocol and any format. On top of this platform we offer a managed service for solution delivery including operational support, change management and a unified client experience within the Bloomberg Console.
Link:
https://careers.bloomberg.com/job/detail/87479?nr=40&qf=data+scientist
Senior Software Engineer - Data Distribution
Bloomberg LP
In RDP (Real-time Distribution Platform), we build Bloomberg's data distribution infrastructure, which is one of the most rapidly growing businesses in the company. RDP provides low-latency market data and value-added Bloomberg data, via our open API (http://www.bloomberglabs.com/api/).
The Infrastructure Services team in London supports a number of systems that add features to the RDP platform beyond data transfer. For example, we support the authentication of product installations ensuring only our customers can connect to our network, authenticating millions of connections each day. The RDP network provides 100s of data services over 10,000s of network nodes, and we support the service that provides the metadata (schemas and caching rules) needed by all of these. Across all projects, our key concerns are stability and scale, and we’re looking for an engineer to join us.
Link:
https://careers.bloomberg.com/job/detail/87524?qf=data
Manager Data Science / Machine Learning – Advisory, Banking & Insurance
EY
The Data and Analytics (DnA) team at EY Belgium financial services is growing, and we are developing a unique set of advisory propositions aligned to the market. We work together with various teams in Belgium and beyond, and we keep close to our clients, enabling them to solve complex business problems by exploiting data; we help articulate the big picture, while still keeping the precision to see the smallest of details.
The area of Data Science includes multiple fields of study like Artificial Intelligence and Machine Learning and is expected to be a key driver for growth in the coming years. Our expertise covers operational and in-stream analytics, predictive and prescriptive analytics, industry models and analytics enablement and governance. This provides actionable enterprise insight and delivers value from the right enterprise data.
We have opportunities for consultants with experience in Machine Learning solutions, who will work on topics such as risk management, end to end core business operations, customer intelligence, finance, cybersecurity and large digital transformations.
Link:
https://eygbl.referrals.selectminds.com/experienced-opportunities/jobs/manager-data-science-machine-learning-%E2%80%93-advisory-banking-insurance-147493
Data Scientist
Elsevier
This person will:
Actively contribute to build analytics and measure KPIs on content quality by developping big data analytics workflows, using SPARK and other technologies in our Databricks clusters and EMR.
Actively contribute to build content improvement methods ingesting and linking content from different sources, using various techniques from machine learning (ML), natural language porcessing (NLP), taxonomies and linked data.
Actively contribute to product and operational content strategies by identifying new technical capabilities for big data workflows and content transformation automation. Using visualization tools to communicate analysis will be another key aspect of the work.
Link:
https://relx.wd3.myworkdayjobs.com/en-US/ElsevierJobs/job/Chennai/Data-Scientist---1120-CN-200_R12201-1
Senior Machine Learning Scientist
Elsevier
For our Research Content Operations department, Elsevier is looking for a Senior Machine Learning Scientist to join the Data Science team, helping to make the most of Elsevier’s high quality content on science, technology, engineering and medicine.
In this role, you will engage in high visibility projects as a lead Data Scientist, adding value with your Machine Learning, Data Science and NLP expertise. You will work in Squads and collaborate with product managers, domain experts, knowledge representation experts and other data scientists in order to build high value outcome from Elsevier content. You will have an opportunity to virtually impact all Elsevier products related to Research and Operations.
Link:
https://relx.wd3.myworkdayjobs.com/en-US/ElsevierJobs/job/Amsterdam/Senior-Machine-Learning-Scientist_R12056
Data Scientist - Advanced Analytics and Data Science (CDAO)
GM
ROLE: As a Data Scientist, will be in Applying Data Science and Modeling techniques to tackle complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.
RESPONSIBILITIES:
- You build predictive models and machine-learning algorithms
- You analyze large amounts of information to discover trends and patterns
- Generate insights from disparate information that solve a business need
- Undertake preprocessing of structured and unstructured data
- Present complex information in a simple to understand manner using data visualization techniques leveraging a javascript framework like React and/or BI tool like Tableau / Power BI
- Propose solutions and strategies to business challenges that drive business impact
Link:
https://search-careers.gm.com/job/GENEA0084JR000020169ENUS/Data-Scientist-Advanced-Analytics-and-Data-Science-CDAO
AI/ML Scientist
GM
General Motors is seeking to identify highly motivated and qualified individuals for potential future opportunities as AI/ML Engineers.
In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM’s global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.
This is a unique opportunity to get in on the ground floor of a new multi-disciplined team of experienced individuals who will be driving the solution design, development, and deployment of advanced statistical and mathematical solutions using machine learning techniques as well as traditional methods. We currently have openings available in Warren, MI and Austin, TX.
Link:
https://search-careers.gm.com/job/GENEA0084JR000015507ENUS/AI-ML-Scientist
Sr. AI/ML Scientist
GM
This is a unique opportunity to translate subject matter expertise and experience in practices around virtuous cycles for machine learning data as part of a multi-disciplined team of experienced individuals who will be driving the solution design, development, and deployment of advanced statistical and mathematical solutions using machine learning techniques as well as traditional methods. The team will generate new algorithmic and software models enabling enterprise tools for automated and autonomous driving systems development.
Candidates should have deep familiarity with predictive modeling techniques based off time series analysis with very high dimensional data sets, especially regarding kinematics.
Experience in generating geospatial feature detection models such as land use, land type, or object detection leveraging sensor fusion or imagery classification is highly desired.
Experience establishing sampling policies for understanding real-world dynamic events from small samples of data, and methodological bases for calculating comprehensive statistics needed to validate expected performance of models or generalization from small samples.
Experience translating real-world sensor data into simulated environments and vice-versa.
Familiar with linear discriminant analysis, cluster analysis, and other methods to identify latent class features in both labeled and label-free data.
Link:
https://search-careers.gm.com/job/GENEA0084JR000019534ENUS/Sr-AI-ML-Scientist
Machine Learning Engineer - Core Engineering
Goldman Sachs
The Goldman Sachs Data Science and Machine Learning Platform team provides high-impact solutions for our data scientists responsible for solving problems of significant business value across multiple divisions of the firm. We build scalable and resilient systems using predictive modeling, natural language processing, anomaly detection, time series forecasting, deep learning, and other techniques on high-volume and high-velocity data.
A true greenfield opportunity, you will join the team as we embark on creating new, scalable and resilient data science tools for a complex industry. You will collaborate with data scientists and business leaders to understand challenges facing the firm and its clients. Your design and development work will contribute to a world-class client experience and optimize business performance.
Link:
https://www.glassdoor.com/job-listing/machine-learning-engineer-core-engineering-goldman-sachs-JV_IC1132348_KO0,42_KE43,56.htm?jl=3739799469&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
Early Careers | Data Development, Governance, and Analytics | New York
Goldman Sachs
Data is fundamental to making informed business and people decisions. Dedicated teams focus on data development, governance and analytics to ensure our firm manages all aspects of the data cycle – from building and controlling to maintaining and delivering large data sets – in the most effective and efficient way. Data teams across the firm embody a keen attention to detail and quantitative discipline.
Divisions and Job Functions
Please note division and function examples are representative of opportunities common for this skill-set. The list is not exhaustive, and availability of open roles is determined based on business need. Specific roles will be confirmed through the interview process.
Risk aims to effectively identify, monitor, evaluate and manage the firm's financial and operational risks - including reputational risk - in support of the firm's strategic plan. Operating in a fast changing environment and utilizing the best in class risk framework, Risk teams are analytically curious, have an aptitude for challenges and an unwavering commitment to excellence.
Link:
https://newyork.jobd.org/view/90785.html?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
Data Engineering and Analytics Specialist
Johnson & Johnson
Janssen Pharmaceutical Companies Of Johnson & Johnson Is Recruiting For An Enthusiastic, Innovative, Data And Analytics Focused Data Engineering And Analytics Specialist To Join Its Statistical Programming And Analysis (SP&A) Group Within Research & Development (R&D) In The US (Raritan Or Spring House) Or UK.
Key Responsibilities:
Effectively collaborating and communicating with JRD partner functions (Data Sciences, Biomarker , RWE, HECON etc.) to implement solutions to deliver on data sciences projects/requests through curation, engineering, profiling, exploration and analysis of clinical study data from diverse sources.
Partnering with x-functional therapeutic area teams, to actively contribute to the development and maintenance of their data science strategy, including providing support for novel submission techniques like RWE.
Working closely with Data Transparency Group to ensure that all aspects of Data and Patients Privacy are being considered before provided data to requesters.
Bringing to bear their strong technical and analytical skills, creating insights from the data to influence decision making and/or strategy.
Link:
https://jobs.jnj.com/jobs/2005859478W?lang=en-us&src=JB-12302
[Janssen] Data Scientist
Johnson & Johnson
Janssen Korea is recruiting for a Data Scientist in MESO(Market Excellence Strategy Operation) dept.
We are looking for a Data Scientist with expertise in crafting, developing and fielding data solutions. You will be someone who stays at the cutting edge of data science and use your knowledge to drive Janssen Korea’s transformation into a data savvy enterprise. You will be part of the team to build projects and develop solutions that deliver insights that help grow our business.
This role represents an exciting opportunity to help shape the direction of data science at Janssen Korea from the beginning and drive its development into a mature operation, adding real value to the business.
Link:
https://jobs.jnj.com/jobs/2005876401W?lang=en-us&previousLocale=en-US
2021 Applied AI and Machine Learning Summer Associate Program
JPMorgan Chase & Co.
Delivering excellence at the intersection of data science, research and industry expertise, our AI and Machine Learning teams go beyond where any bank has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing financial problems, and improve and protect our customer and client experiences every day. Whether you’re working with artificial intelligence, blockchain technology, big data, machine learning or robotics, our entrepreneurial team environment challenges you to push the limits of your expertise in the pursuit of impactful and commercial real world applications.
What to expect
Our Summer Associate Internship Program begins in May or June, depending on your academic schedule. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more. Full-time employment offers may be extended upon successful completion of the program.
Our Applied AI and Machine Learning teams work closely together, whether exploring cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques to J.P. Morgan’s unique data assets, or collaborating directly with traders and salespeople to drive the data-led transformation of our businesses.
Our areas of focus include Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, Explainability and Interpretability, and Ethics and Fairness of AI.
Link:
https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210020517
2021 AI Research Summer Associate Program
JPMorgan Chase & Co.
As a Research Scientist on the team, you will conduct end-to-end research typically within a specialized focus area. You will work on multiple research projects in collaboration with internal and external researchers and with applied engineering teams.
You will be integral to all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research.
Your output will result in high-impact business applications, open source software, patents and/or publications in AI/ML conferences and journals. As a member of the AI research community, you will also have the opportunity to participate in relevant top-tier academic conferences to broaden the impact of your contributions.
Link:
https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/job/210021740
Manager, Data Scientist, Optimization
KPMG
Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, you'll work with a diverse team of professionals to explore and build solutions for clients in a multiplatform environment.
You'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. In this particular role, you'll work specifically in the AI Analytics & Engineering Community within the Digital Lighthouse, on a wide range of projects. From applied AI to optimization to big data platform engineering, your analytical and technical skills will drive real impact in the business world. At KPMG, our commitment to your career development helps to set us apart as an employer. We want to enhance your potential, both for yourself and as a contributor to our firm. That's why we provide every opportunity to expand your skills, knowledge and experiences through formal education and training programs, leadership development opportunities, and, as well as informal one-on-one coaching and mentoring from your KPMG colleagues.
Link:
https://us-jobs.kpmg.com/careers/JobDetail?jobId=50499&srcCat=Internet&specSrc=US+KPMG+External+Career+Site
Associate, Big Data Engineer
KPMG
The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
Link:
https://us-jobs.kpmg.com/careers/JobDetail?jobId=52561&srcCat=Internet&specSrc=US+KPMG+External+Career+Site
Director, Data Science and Engineering, D&S Product Development
Mastercard
The Product Development team is charged to develop future products and solutions focused on Insights, Loyalty & Managed services by enabling project management excellence framework delivering great business value and user experience leveraging cutting edge technology
As the Director of Data Science & Engineering team, you will develop data products and solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
Link:
https://mastercard.jobs/virtual-sgp/director-data-science-and-engineering-ds-product-development/6A52EAFBBDFA499F8A384E55356558FC/job/
Product specialist - AI and Biometrics
Mastercard
Mastercard’s Cyber and Intelligence (C&I) Solutions organization develops and delivers world-class security products and services for customers across the globe. NuData and Brighterion are two companies that were acquired by Mastercard in 2018 and are part of the C&I Solutions organization.
This role is ideal for candidates who enjoy managing the product management and rollout of two new cutting edge capabilities across Asia Pacific. The role also requires working in a technical capacity and driving business outcomes by being involved in sales as a subject matter expert. You will bring technical and industry experience to help our sales team win deals and be the subject matter expert for the Region.
As the Director of Data Science & Engineering team, you will develop data products and solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data.
Link:
https://mastercard.jobs/virtual-sgp/product-specialist-ai-and-biometrics/85436196009C4E908B8649747E409457/job/
Research Intern - Machine learning at Microsoft Research NYC
Microsoft Research
Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
Microsoft Research New York seeks outstanding Machine Learning intern applicants for Summer 2021. Specific areas of interest include Contextual Bandits, Foundations of Deep Learning, Learning Theory, Learning from Interaction, Natural Language Processing, ML + Human-computer Interaction, and Reinforcement Learning.
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants with the passion and ability to craft and pursue an independent research program, including a strong publication record at top research venues.
Link:
https://careers.microsoft.com/us/en/job/935052/Research-Intern-Machine-learning-at-Microsoft-Research-NYC?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic
Researcher – Reinforcement Learning – Microsoft Research
Microsoft Research
We want to enable the next generation of machine learning using interactive reinforcement-based approaches to solve real-world problems.
We seek outstanding applicants in many locations for full-time positions in reinforcement learning and related areas such as natural language processing, computer vision, and dialog systems among others. We particularly seek applicants with expertise that is complementary to the rest of our team and expands the scope and effectiveness of reinforcement learning approaches to both new and existing domains. We encourage candidates with both theoretical and applied interests to apply.
Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We seek applicants with the passion and ability to craft and pursue an independent research program, including a strong publication record at top research venues.
Link:
https://careers.microsoft.com/professionals/us/en/job/932455/Researcher-Reinforcement-Learning-Microsoft-Research
Research Intern - Computational Social Science
Microsoft Research
Microsoft Research provides a dynamic environment with a network of world-class research labs led by globally recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines, to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.
The Microsoft Research Computational Social Science (CSS) group is widely recognized as a leading center of CSS research, lying at the intersection of computer science, statistics and the social sciences. Our approach is motivated by two longstanding difficulties for traditional social science: first, that simply gathering observational data on human activity is extremely difficult at scale and over time; and second, that running experiments to manipulate the conditions under which these measurements are made (e.g., randomly assigning large sets of interacting people to treatment and control groups) is even more challenging and often impossible.
In the first category, we exploit digital data that is generated by existing platforms (e.g., email, web browsers, search, social media) to generate novel insights into individual and collective human behavior. In the second category, we design novel “virtual lab” experiments that allow for larger scale, longer time horizons, and greater complexity and realism than is possible in physical labs.
Link:
https://careers.microsoft.com/us/en/job/937112/Research-Intern-Computational-Social-Science
Post Doc Researcher - Systems – Microsoft Research
Microsoft Research
We seek outstanding applicants for a full-time postdoctoral researcher position in Systems and related areas. The earliest start date is July 1, 2021 for a period of one or two years.
The Systems research group in NYC investigates a wide variety of topics within distributed systems, operating systems, and networking, while drawing on techniques from machine learning, theory, privacy, and program verification to build more powerful systems.
We are strong believers in responsible AI: our goal is to apply AI to systems in a way that is minimally disruptive, synergistic with human solutions, and safe. Our team is inherently interdisciplinary, as is our mission. We engage in deep collaborations with world experts in machine learning, computational social science, economics, and FATE. In all of our work, a top priority is impact: we publish at the best academic conferences and journals, in systems and beyond; our work has also led to multiple tech transfers with product groups across the company, resulting in real business impact.
Microsoft Research NYC offers an exhilarating and supportive environment for cutting-edge research, both theoretical and applied, with access to an extraordinary diversity of big and small data sources, an open publications policy, and close links to top academic institutions around the world. We are particularly proud of the interdisciplinary work that MSR-NYC has been able to foster, and welcome applications from those interested in working across disciplines.
Link:
https://careers.microsoft.com/us/en/job/924417/Post-Doc-Researcher-Systems-Microsoft-Research?utm_campaign=google_jobs_apply
Senior Data Scientist
Media Math
MediaMath is a leading global independent advertising technology company, working with brands and agencies. We created the first software for real-time media buying in 2007 and today work with over two-thirds of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships.
We are currently looking for a Senior Data Scientist to support the ongoing development of MediaMath's proprietary algorithms and analytics. This individual will be a member of the Data Science team, working closely with the Product, Engineering, and Analytics teams on the conception, design, development, testing, and deployment of real-world applications of models & data that impact billions of dollars of marketing spend. From optimizing real-time bidding auctions, to separating human from non-human web traffic, to building out a global cross-device graph across billions of users, this individual will have the opportunity to work on numerous cutting-edge problems and develop scalable, high-performance solutions to big data problems using state-of-the art technologies, languages and frameworks.
Link:
https://www.glassdoor.com/job-listing/senior-data-scientist-mediamath-JV_IC1132348_KO0,21_KE22,31.htm?jl=3667608209
2021 - Engineering and Technology Summer Internship
Moody's
Our Engineering & Technology Internships deliver real world work experience. Through our Engineering & Technology internships, you will gain hands-on experience as a developing software engineer while working at the intersection of finance and technology. We leverage current and emerging technologies to help our clients manage risk and meet regulatory requirements. Our Engineering & Technology internships can also lead to full time opportunities within our Moody’s Analytics Technology Rotation (MATR) program. Most importantly, you’ll have the opportunity to work with smart, innovative, energetic, and fun people who will be committed to seeing you grow and succeed.
Link:
https://www.moodys.jobs/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=25546&siteid=5212&jobId=1764067&Codes=LINKEDIN#jobDetails=1764067_5212
Director, Enterprise Analytics and Data Science (Multiple positions)
Novartis
Building expertise in Enterprise Analytics and Data Science is a major priority for the US Oncology Strategic Data and Digital team. Strong data and analytics enables Novartis to share valuable brand information with physicians. Enterprise Analytics include both Digital and personal promotion channels. Digital may include endemic and non-endemic 3rd party platforms, Emails, EHRs, or Banners. Personal promotion may include Representative calls, speaker events, and lunch and learn. Enterprise Analytics will be critical to the success of our efforts, and focus areas will include how we measure, track, monitor, draw insights from, and integrate tactics and campaigns across these channels to maximize return on investment and impact.
The Director, Enterprise Analytics and Data Science contributes to defining the resource allocation and optimization strategy for various Oncology Brands. This individual will provide analytical support through data science in the campaign measurement, experimental design, data mining, and response modeling using large internal and external physician-level datasets.
The Director will work closely with the Digital team and Brand teams within Novartis Oncology Business units such as Solid Tumors and Hematology to develop new techniques and standardization across the analytics organization. In addition to conducting data science and enterprise analytics, the individual in this role will collaborate closely with global data science teams to conduct modeling and piloting for various brands.
Link:
https://www.novartis.com/careers/career-search/job-details/305058BR
Strategic Data Science - Intern
Two Sigma
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
When you work with us, you tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you’ll be doing work that matters to a lot of people, too. Our investors include some of the world’s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we’re proud to serve these organizations.
The internship program lasts 10 weeks in the summer and takes place at our Soho-based, New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which will culminate in a final presentation at the conclusion of the program.
Link:
https://careers.twosigma.com/careers/DashJobDetail?jobId=7415&source=Indeed
Data Scientist
Two Sigma
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
Two Sigma is looking for Data Scientists from a variety of backgrounds to help propel and enhance its data-driven investment initiatives. As a Two Sigma Data Scientist, you will explore a breadth of challenges: identifying timely and unique data sets, diving deep into a diverse set of data domains, visualizing and exploring underlying data drivers, and developing data set features and forecasts.
Link:
https://careers.twosigma.com/careers/DashJobDetail?jobId=2785&source=Indeed
Quantitative Researcher: Machine Learning
Two Sigma
Two Sigma is a financial sciences company, combining data analysis, invention, and rigorous inquiry to help solve the toughest challenges in investment management, insurance technology, securities, private equity, and venture capital.
Our team of scientists, technologists, and academics looks beyond the traditional to develop creative solutions to some of the world’s most complex economic problems.
When you work with us, you get to tackle tough problems alongside other scientists and engineers. People who will challenge your ideas. Who you can really learn from, and collaborate with. And you’re doing work that matters to a lot of people, too. Our investors include some of the world’s largest retirement funds, research institutions, educational endowments, healthcare systems and foundations. We admire what they do, and we’re proud to work with these organizations.
You will take on the following responsibilities:
Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
Apply machine learning to a vast array of datasets
Create and test complex investment ideas and partner with our engineers to test your hypotheses
Join our reading circles to stay up to date on the latest research papers in your field
Attend academic seminars to learn from thought leaders from top universities
Share insights from conferences focused on statistics, machine learning, and data science
Link:
https://careers.twosigma.com/careers/DashJobDetail?jobId=1439&source=Indeed
Data Scientist
Unilever
Unilever Food Solutions is accelerating its digital transformation to fuel growth through data driven and technology enabled go to market capabilities. This key data science position leads go-to-market analytics to elevate the Unilever Food Solutions North American business to a best-in-class commercial organization.
A critic a role within the Business Excellence Team, the Data Scientist – Business Excellence will be responsible for the collection, maintenance, and analytics of internal and external data to accelerate business growth. You will work closely with the Technology, eCommerce Marketing, Sales Capability Building, and Sales teams to identify, assign, and measure revenue growth opportunities within Unilever Food Solution’s go to market teams.
You will leverage structured and unstructured data to build segmentation, scoring, and predictive models that will shape the identification, assignment, and measurement of business growth opportunities. With the help of in-depth customer profile and behavioral data, you will aid in the design of automated marketing capabilities to enable best fit customer journeys.
Link:
https://careers.unilever.com/na/en/job/R-06515/Data-Scientist
Senior Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist
Vanguard
As a Senior Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist, you will work with a highly innovative and vibrant team of Data Scientists in developing the next generation AI/ML enabled Financial Advice solutions for Vanguard. You will apply your analytics, artificial intelligence, machine learning, and cloud technologies knowledge to create foundations for the next generation of smart and cloud connected platform and services. This work will transform how financial advice is made accessible to the masses. With great freedom to innovate, you will play a leading role in world-class research that will drive the future of Vanguard’s artificial intelligence and machine learning. You will make a difference by leading and innovating new AI based systems and services that power our financial advice business. You will team up with business stakeholders to prioritize innovation ideas and work with other data scientists to develop and deliver breakthrough solutions. In addition, you will coach, mentor, and guide junior data scientists to help them excel and advance their career development.
Link:
https://vanguard.wd5.myworkdayjobs.com/en-US/vanguard_external/job/Malvern-PA/Senior-Data-Scientist---Artificial-Intelligence---Machine-Learning---AI-ML-Scientist_130749?source=Glassdoor
Senior Marketing Data Scientist II
Vanguard
In This Role You Will:
Lead meaningful marketing science projects that provide deep insights into marketing needs and performance, and ultimately, drive better marketing return on investment and business outcomes. Applies significant quality control and risk assessment of the model, methodologies, outputs and processes.
Identify ways of demonstrating data to address marketing challenges and opportunities. Translate requirements into an analytics approach, and through sophisticated analysis, formulate insights that improve the way we do marketing
Demonstrate subject matter expertise and develop core Marketing ML solutions such as Marketing mix models, Multi-touch attribution algorithms, Next best action solutions, Channel optimization, etc.to guide business partners and leaders in marketing planning and execution
Drive innovative marketing models and applications through continuously improve and grow CAI Marketing ML capabilities to better support marketing core goals and metrics
Link:
https://www.vanguardjobs.com/job/11927212/senior-marketing-data-scientist-ii-malvern-pa/#gtm-jobdetail-desc
Betterview Data Collection Intern
Betterview
Betterview is a remote property intelligence company that uses computer vision and aerial imagery to assess property risk for the insurance industry looking for a data science intern to join the team. Betterview is based in California but we are open to remote for this position. This is a paid internship to start ASAP and last 3-6 months.
A California-based company building insight through aerial imagery and machine learning is looking for an intern to join its Data Science team and support large scale data collection efforts. The intern will help Betterview find and enrich its aerial imagery exhibiting certain features by managing and improving associated workflows, processing imagery and ingesting it into machine learning workflows for processing.
Responsibilities
- Support Betterview’s Data Science team to systematically find properties that exhibit desired conditions
- Draft documents to define the conditions and teach annotators how to label the images
- Review images and measure quality of large datasets
- Clean datasets according to target quality metrics set the Data Science team
- Submit data labeling tasks to outside vendors through web applications and/or programmatically
- Maintain excellent data hygiene in concert with the data science and machine learning teams
- Update tasks in Jira and keep good notes
Link:
https://www.betterview.com/
Internship at Altair
Altair
About Altair: Altair is driven by curiosity and a deep desire to look beyond the horizon for new insights, ideas and possibilities.
Learn more about the company here: https://www.youtube.com/watch?v=h2xXd8l7s0A
Opportunities: Altair has amazing opportunities for students, whether you’re looking for an internship or a full-time position.
Some of the positions they’re looking for are:
Application Engineers
Data Science Engineers
Simulation Engineers
Disciplines they’re focusing on:
Mechanical Engineering
Electrical Engineering
Software Engineering
Link:
https://www.altair.com/careers/
Senior Data Scientist - Marketplace Optimization
Faire
At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we are constantly iterating and innovating our product offering to create more value for the ecosystem.
You’ll work on a diverse set of problems such as optimizing reverse logistics and freight costs, determine optimal pricing for products on resale channels, compute optimal credit limits, and grow Faire’s subscription program. You will be working closely with other data scientists, engineers, and product managers to drive projects that derive value from our unique, rich, and rapidly growing data on two sided marketplace.
Link:
https://boards.greenhouse.io/faire/jobs/4886811002?gh_jid=4886811002
Senior Data Scientist - Underwriting
Faire
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive. The data science team helps answer questions like; How do we underwrite retailers with thin files? How do we optimally assign term limits to Faire retailers? How to minimize the risk of defaults while maximizing the share of wallet growth driven by net terms? What data sources should we invest in to improve the performance of our credit models?
We’re looking for someone who’s comfortable working on the cutting edge of machine learning research. You’re happy working autonomously and delivering results without micromanagement. You wake up ready to take a problem end-to-end, dive into the guts of our information-rich databases, and produce actionable insights. You can’t wait to push the boundaries and discover the next big thing, then share it with your peers. You are, or will be, world-class in credit risk and help lead the wider data community. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
Link:
https://boards.greenhouse.io/faire/jobs/4497192002?gh_jid=4497192002
Data Scientist - Intern
Faire
We have several PhD Intern positions in the following fields: Recommendations, Ranking, Search, Risk Models and Underwriting.
We're looking for someone with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights. As a Faire Data Scientist, you can't wait to push the boundaries and discover the next big thing, then share it with your peers or as an academic research work. You are, or will be, world-class and help lead the wider data community. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates, are open for extensions, and ultimately hope that interns can convert into full-time employees with our team.
Link:
https://boards.greenhouse.io/faire/jobs/4962918002?gh_jid=4962918002
FHWA NRC Research Associateship Program - Use of Machine Learning to Move Towards Performance Specifications
Federal Highway Administration (FHWA)
The Federal Highway Administration's (FHWA) Turner-Fairbank Highway Research Center (TFHRC) is seeking a postdoctoral associate with an expertise in applying machine learning to asphalt materials. he use of machine learning offers potential to the asphalt pavement community. Additionally, FHWA offers a unique dataset to advance this important topic, including performance information from the Long-Term Pavement Performance database and the Asphalt Binder and Mixture Laboratory (ABML) at TFHRC.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270100&RONum=C0208
FHWA NRC Research Associateship Program - Leveraging Big Data for Enhanced Pavement Management
Federal Highway Administration (FHWA)
Pavement management relies on different types of data. Inventory data describe the physical elements of a road system. Pavement construction history data describe the pavement structure and layer composition. Condition data describe the condition of elements that can be expected to change over time. Traffic and climate data describe the traffic and environmental loading the pavement is subjected over time. Cost data describe historical investments and serve as a data source for future cost estimates.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270100&RONum=C0487
FHWA NRC Research Associateship Program - Highway Performance Big Data Applications
Federal Highway Administration (FHWA)
The Federal Highway Administration (FHWA) has been collecting the annual Highway Performance Monitoring System (HPMS) data and the monthly traffic volume counts data for a long time. More recently, the FHWA has been acquiring what is known as the National Performance Management Research Data Set (NPMRDS) from private businesses. The NPMRDS data are probe-based travel time dataset providing segment-level travel times in 5-minute increments for over 440,000 directional miles of roads designated as the National Highway System (NHS) for the entire nation. With unprecedented coverage and granularity, this rich dataset can be applied in transportation performance management, modeling, and planning. Linked with other data sources, the NPMRDS opens the door for a whole new spectrum of research and applications. One potential example is to integrate the NPMRDS data with the annul HPMS, the monthly traffic count data, the National Highway Traffic Safety Administration’s Fatality Analysis Reporting System (FARS) data and other safety or incidents datasets to decipher safety issues and offer potential insights on relationships and causations.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270100&RONum=C0201
FHWA NRC Research Associateship Program - Development of Next Generation Model of the Highway Economic Requirements System (HERS)
Federal Highway Administration (FHWA)
FHWA’s Office of Transportation Policy Studies based in Washington, DC is seeking a talented Research Associate to support enhancements to the Highway Economic Requirements System (HERS). The HERS model provides national projections of highway condition and performance under alternative potential levels of investment over a 20-year horizon and yields estimates of the investment needs relative to alternative targets. The model is currently being re-coded from Fortran into Python, which will facilitate the incorporation of advanced optimization algorithms. The current algorithms are dated and myopically optimize the investment program a single period at a time without adequately considering investment timing across the time horizon. The investment program consists of improvement options to more than 100,000 sections of highway in the model database. The computation run time is very expensive because of the vast sample size, the existence of constraints on the total dollar amount of investment, the need to select among alternative potential improvements (i.e. resurface or reconstruct, add lanes, shoulder improvements) to a given highway section, along with inefficiency of the modeling codes.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270101&RONum=C0490
FHWA NRC Research Associateship Program - Application of Artificial Intelligence for Highway Infrastructure Asset Management
Federal Highway Administration (FHWA)
Recently, there is a strong demand for the condition assessment of a large population of highway infrastructure with various advanced non-destructive evaluation (NDE) technologies and advanced processing techniques, which allow automated identification of hidden defects and damages. To date, the interpretation of NDE is generally carried out in a point-by-point manner, which treats each data point in isolation and ignores its spatial context. Also, NDE techniques have been employed to capture snapshots of condition, and thus all NDE data analysis and interpretation techniques focus exclusively on data collected at a single time-period. Over the last decade, several researchers have begun to deploy NDE over multiple time periods with the goal of not just capturing a snapshot of condition, but also tracking the deterioration rate and how the spatial patterns of deterioration evolve with time. This new approach to data collection essentially creates a time series of NDE data; however, current data analysis and interpretation approaches are only capable of dealing with NDE data as a snapshot.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270100&RONum=C0384
FHWA NRC Research Associateship Program - Analyzing Big SHRP2 NDS Datasets for Better Intersection Safety
Federal Highway Administration (FHWA)
The second Strategic Highway Research Program (SHRP 2) addresses some of the most pressing needs of the nation’s highway system. The safety component of SHRP2 represents the largest ever naturalistic driving study in the world to better understand the interactions among various factors involved in highway crashes--driver, vehicle, and infrastructure. As of February 2015, all SHRP2 safety area field data collection and archiving have ended, and now this rich dataset is available for researchers to explore and uncover the clues of how the interacting factors led to the various types of roadway events.
Link:
http://nrc58.nas.edu/RAPLab10/Opportunity/Opportunity.aspx?LabCode=27&ROPCD=270100&RONum=C0510
Funded PhD and Postdoc positions at the University of Delaware
University of Delaware
The Gao Lab in Geospatial Data Science and Human Dimensions of Global Change at the University of Delaware invites applications for PhD and Postdoc positions. We are a growing interdisciplinary team led by Dr. Jing Gao currently consisting of four graduate students and two undergraduate interns. Our work spans three research directions as listed below. We look for self-motivated researchers in any of these directions or their intersections. The positions come with competitive funding packages and a wide range of collaboration opportunities within and beyond the university.
• Spatiotemporal modeling of socioeconomic processes (e.g. mapping population characteristics)
• Data-driven investigations of socio-environmental dynamics (e.g. interactions between climate change and global urbanization)
• Machine learning tool development for geospatial data analytics (e.g. uncertainty quantification)
Ideal candidates have a solid background in quantitative and computational methods (e.g., spatial analysis and modeling, geo-computation, machine learning, statistics), excellent written and verbal communication skills, and strong work ethics. Prior research experience in geography, earth system science, environmental science, or interdisciplinary teamwork are highly valued.
Applicants should indicate their interests to Dr. Jing Gao (jinggao@udel.edu), by emailing a CV, unofficial transcripts, and a short research statement connecting existing experiences and skillsets with future plans, which will be reviewed as they arrive. Priority consideration will be given to applications received by January 5, 2021, and shortlisted candidates will be contacted for a virtual interview before January 12, 2021.
Fully funded PhD student position for machine learning for solid mechanics at Columbia University
Columbia University
We are looking for PhD students in the broad area of computational mechanics with background on machine learning. Our project is specifically focused on applications of machine learning (deep reinforcement learning, graph neural network) for computational plasticity and damage of crystalline and granular materials.
USA citizenship is highly preferred but exceptional cases will be considered. Candidates from underrepresented groups are encouraged to apply.
Please send a CV, a brief summary of research interests and skills, published journal articles, and the names, affiliations, phone numbers, and email addresses of three references to wsun@columbia.edu Evaluation of candidates will begin immediately and will continue until the opening is filled. This position is available immediately. More information about the research group can be found at
https://www.poromechanics.org/team-members.html
https://poromechanics.org/publications.html
https://poromechanics.org/research.html
https://poromechanics.org/pi.html
For any questions, please contact me via email wsun@columbia.edu
Link:
http://www.poromechanics.org
Postdoc research fellow
The City College of New York
We are seeking a postdoctoral fellow to work on detecting breast cancer in
MRI . The ideal candidate
has experience in deep learning for medical imaging. Funding is guaranteed
for 5 years. We have 100,000 breast MRI images -- an absolutely unique
resource of deep learning. Without exaggeration, this is an opportunity to
save lives! The project is a wonderful collaboration between CCNY
and the Radiology Department at
Memorial Sloan Kettering Cancer Center
.
For details, please see here https://www.parralab.org/jobs.html. Interested
candidates please contact parra@ccny.cuny.edu.
Link:
None
Postdoctoral Position in Scientific Machine Learning
Sandia National Laboratories
Are you passionate about developing new algorithms and approaches to address challenges posed by complex applications? Check this out! Our diverse team is seeking a highly motivated Postdoctoral Appointee to conduct research as part of a project led by Eric Cyr in developing new mathematical algorithms for training deep neural networks scaling to leadership class HPC platforms.
To Apply:
• Go to http://www.sandia.gov/careers/students_postdocs/postdocs.html
• Click 'View All Jobs'
• Search for Job ID: 674254
4 postdoctoral positions in AI for Earth and Climate sciences
Universitat de Valencia
intersection of Machine Learning and Earth/Climate Sciences. Physics-aware machine learning, generative modeling, eXplainable AI, causality, and anomaly/extreme detection for Earth and Climate sciences. Funded by the excellence research programs of the European Union. How to apply? Send me (a) 1-page motivation letter, (b) 2-pages CV, (c) 3 recommendation letters to gustau.camps@uv.es in a single PDF before January, 15th 2021
Link:
http://isp.uv.es
