Data Scientist
ASML
Job Mission
ASML is looking for Data Scientist to join our Applied Data Science team. We are interested in individuals with strong knowledge and experience in developing and evaluating Machine Learning & Data Mining algorithms as well as a broad interest in data handling, modeling and visualization.
Job Description
You will evaluate and apply new learning methodologies and develop solutions to improve on-customer-product performance obtained with ASML machines and applications.
By combining scanner and metrology data with information on fab usage conditions through techniques from the field of
Data Science, you discover relations between stochastic variables and design robust and adaptive models that generalize well and can deal with uncertainty.
Particularly, the vacancy aims at developing new data analytics, visualizations and control solutions by cutting edge techniques from Machine Learning and Data Mining. Successful methodologies may be included in ASML customer applications.
Context of the position
You will be a member of the Applied Data Science team in Development & Engineering of the Business Line Applications (On-Product Performance department, Data Science & Control Algorithms group) where you will interact with your peer data scientists. You will also be part of a multidisciplinary product development team, interacting with other departments (such as software development and customer support).
Travelling a few times per year to customers worldwide can be part of the job.
Link:
https://www.asml.com/en/careers/find-your-job/1/7/9/data-scientist-req17967
Data Engineer
ASML
Job Mission
ASML is looking for an experienced Data Engineer to join our Applied Data Science team. We are interested in engineers with strong knowledge and experience in ETL in an industrial environment.
Job Description
You are expected to handle data from various data sources and determine how best to structure the data in order to provide data in a ready-to-use form to data scientists who are looking to run queries and algorithms against the information for predictive analytics, and machine learning. You will design and implement scalable data pipelines on the Hadoop ecosystem and related projects. You are expected to write high quality, maintainable, and robust code, and provide solutions for ensuring data quality and integrity.
The vacancy aims at supporting the development of new data analytics, visualizations and control solutions by cutting edge techniques from Machine Learning and Data Mining. Successful methodologies may be included in ASML customer applications.
Context of the position
You will be a member of the Applied Data Science team in Development & Engineering of the Business Line Applications (On-Product Performance department, Data Science & Control Algorithms group) where you will interact with your peer data scientists. You will also be part of a multidisciplinary product development team, interacting with other departments (such as software development and customer support).
Travelling a few times per year to customers worldwide can be part of the job.
Link:
https://www.asml.com/en/careers/find-your-job/1/7/9/data-engineer-req17968
Internship: Artificial Neural Networks for complex lens design
ASML
Job Mission
ASML produces scanners performing with nanometer accuracy at a very high speed. This is achieved thanks to several elements: a good design, very accurate sensors, clever algorithms, … We constantly seek improvements in all these elements to improve scanner performance. In being part of ASML, your task is to push this boundary of accuracy and speed beyond the current status using optimization techniques.
Job Description
The primary goal of your assignment is to assess how Machine Learning methodologies can be used to classify and improve complex lens design. Specifically, you will be asked to create Artificial Neural Networks capable of recognizing good lens designs. In this assignment you will learn about optics and how essential it is for our scanners. You will use real-world data and work in a multi-disciplinary team.
What ASML offers
Your internship will be in one of the leading Dutch corporations, gaining valuable experience in a highly dynamic environment. You will receive a monthly internship allowance based on your educational level and number of days per week, plus a possible housing or travel allowance. More information on the allowances can be found on our website. In addition you will get expert, practical guidance and the chance to work in and experience a dynamic, innovative team environment.
Link:
https://www.asml.com/en/careers/find-your-job/1/7/4/internship-artificial-neural-networks-for-complex-lens-design-req17420
Digital Biomarker Technology Science Lead
F. Hoffmann-La Roche
At Roche, we believe it’s urgent to deliver medical solutions right now. Roche's Pharma Research and Early Development Informatics team is the bridge between digital technology and science. The Digital Biomarker team leverages smartphones, wearables and other remote monitoring technologies to collect objective, sensitive and continuous sensor data from patients in clinical trials and drive the development of novel drug endpoints. As a Digital Biomarker Technology Science Lead you are accountable for end-2-end delivery of your digital biomarker portfolio in multiple disease areas (current main focus: Neuroscience). Have a look at the job description to know more about it and submit your application!
Link:
https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202008-120845&locale=en&title=Digital+Biomarker+Technology+Science+Lead
Senior Machine Learning Scientist (Growth)
ASOS
We are looking for Machine Learning Scientists to join our Growth Science team and play a key role in helping ASOS provide the best shopping experience to our millions of customers.
The role offers broad exposure to ASOS, requiring close collaboration with retail, marketing and technology divisions. You will be part of a highly innovative AI platform working alongside engineers and fellow scientists to solve and productionise interesting and difficult problems to understand, measure and optimise Marketing budgets.
At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products. We will also leverage third party data from our Marketing partners and platforms.
The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.
Link:
https://asos.wd3.myworkdayjobs.com/en-US/externalcareers/job/London/Senior-Machine-Learning-Scientist_JR8489
Senior Machine Learning Scientist (Retail)
ASOS
ASOS is one of the UK’s top fashion and beauty destinations, expanding globally at a rapid pace. Our values are to be authentic, brave and creative, and we live and breathe these in everything we do.
We are looking for Machine Learning Scientists to join our retail machine learning team and play a key role in helping ASOS provide the best shopping experience to our millions of customers. The role offers broad exposure to ASOS, requiring close collaboration with retail and technology divisions. You will be part of a highly innovative AI platform working alongside engineers and fellow scientists to solve and productionise interesting and difficult problems and leveraging cutting edge technology. At ASOS, as an online only retailer, we have unique datasets – transactions and click streams for millions of customers and photos, videos, and text descriptions of hundreds of thousands of products.
The ideal candidate will have a strong technical background and experience solving tough problems with large datasets. You will be a highly intelligent self-starter, able to work independently with a strong attention to detail.
Link:
https://asos.wd3.myworkdayjobs.com/en-US/externalcareers/job/London/Senior-Machine-Learning-Scientist_JR8488
Senior Expert in Machine Learning (postdoc)
Fraunhofer IAIS
Are you interested in developing the next generation of ML and AI? We have an opportunity for post doc researchers in our Knowledge Discovery group at Fraunhofer IAIS. Our research areas include: NLP, trustworthy AI, deep learning, bayesian inference, interactive ML, healthcare. Ideally you would be happy in supervising PhD candidates and be would love to work both in academia as well as on industry projects. We look forward to your application!
Link:
https://www.iais.fraunhofer.de/de/karriere/stellenangebote/iais-2020-22.html
senior data scientist experienced within healthcare
ordina
https://www.ordina.be/vacature/senior-data-scientist/
additional skill/experience: we are looking for someone with a (bio)medical background with a major or PhD linked to AI or soneone with a proven AI record in the healthcare industry.
senior image and vision recognition scientist
ordina
https://www.ordina.be/en/job/computer-vision-and-image-recognition-data-scientist/
(big) data engineer
Ordina
https://www.ordina.be/en/job/senior-big-data-engineer/
PhD positions with ML-Labs, Dublin, Ireland
ML-Labs: SFI Centre for Research Training in Machine Learning
We are delighted to announce 30 PhD positions with ML-Labs,
a new SFI Centre for Research Training in Machine Learning,
across University College Dublin, Dublin City University and Technological University Dublin, Ireland. The positions start in September 2021. Applications open in December 2020. To check eligibility and to apply please go to: https://ml-labs.ie
Link:
https://www.ml-labs.ie/apply/
Postdoc researcher in explainable machine learning and survival analysis
KU Leuven
At itec, an imec research group at KU Leuven, Belgium, we have a full-time postdoc position available in the intersection of machine learning and survival (time-to-event) analysis.
Link:
https://www.kuleuven.be/personeel/jobsite/jobs/55881116?hl=en&lang=en
PhD position on deep learning for plant growth
Technische Universiteit Eindhoven
We are seeking a highly creative and motivated PhD candidate to join the Data Mining Group at the Eindhoven University of Technology. The candidate will be working in collaboration with Joaquin Vanschoren and his team to develop new fundamental machine learning methods and tools to automatically track how plants grow in vertical farms, and predict the ideal circumstances (light, nutrients, water) to make them grow optimally. Deep learning can be used to learn the complex interactions between the plant genotype, growing conditions, and plant quality. This can be done by installing cameras inside vertical farms and tracking plant growth over time, and then relating this to the plant’s growing conditions, existing plant growth models, and unique genotype. This poses several fundamental challenges. First, tracking plant growth itself requires high-quality identification of plants and individual overlapping leaves from images, also through time. Second, models must be robust against anomalies such as misshapen or burned leaves. Finally, they must also work with limited amounts of data, for instance by pretraining models on artificial data generated by Generative Adversarial Networks (GANs), and by applying meta-learning (e.g. transfer learning and few-shot learning) to transfer information from models previously trained on different plant species.
Link:
https://jobs.tue.nl/en/vacancy/phd-position-on-deep-learning-for-plant-growth-861555.html
Assistant/Associate/Full Professor in AI (five positions)
Technische Universiteit Eindhoven
We seek to hire five open-rank faculty members to expand our academic staff in the area of Artificial Intelligence (AI). Applications will start to be screened immediately. We welcome excellent candidates that can contribute to starting a new research direction or to joining any of the current research areas of the AI Cluster (AIc). Applicants for an associate and a full professor rank may suggest how they see their group to be composed and whether they have in mind some suitable candidates to join their group.
Link:
https://jobs.tue.nl/en/vacancy/five-positions-assistant-associate-full-professor-in-ai-846951.html
Post-doctoral fellow on automatic machine learning
Technische Universiteit Eindhoven
Challenging post-doctoral fellowship on next-gen automated machine learning (AutoML). You will design and implement AutoML systems that handle real-world data, multiple objectives (including fairness), and never stop learning, using meta-learning to transfer knowledge from previously learned models.
Link:
https://jobs.tue.nl/en/vacancy/postdoctoral-fellow-on-automatic-machine-learning-861567.html
AI Engineer
Technische Universiteit Eindhoven
The Uncertainty in Artificial Intelligence (UAI) group and the Artificial Intelligence and Data Engineering (AIDE) Lab of Eindhoven University of Technology seek an AI engineer to enhance our strengths in research and education. The successful candidate will work with topics related to AI and machine learning and will improve the group’s capability of developing software solutions for education, research and industry. There will be opportunities for collaboration with multiple researchers inside the university. The successful candidate will also contribute to educational tasks of the group and the lab.
The position focuses on highly technical programming and software development and include a broad spectrum of tasks, mainly on developing machine learning tools, but also in supporting the tasks of the group in web presence and material, open-source libraries, etc. It offers excellent learning opportunities in a vibrant machine learning research environment, with the possibility to contribute to state-of-the-art research.
Link:
https://jobs.tue.nl/en/vacancy/ai-engineer-859044.html
Scientific Director AI
Technische Universiteit Eindhoven
The Eindhoven Artificial Intelligence Systems Institute (EAISI, pronounced ‘easy’) is meant to meet the rapidly growing demand for courses, engineers, and expertise in the field of AI. Our university offers an outstanding position as Scientific Director of EAISI. Do you have what it takes to make our EASI center a world-recognized institution and are you willing to collaborate with different scientific institutes and industry? Then apply now!
EAISI was established in the spring of 2019 as a cross-departmental institute. It has a staff consisting of a (strategic) management team, a team focusing on (inter)national positioning, and a scientific team. It builds on the strengths of AI research in the Data Science Center and the High-tech Systems Center and on ongoing collaborations among TU/e researchers. EAISI is looking to fill the position of Scientific Director who is encouraged to lead EAISI in developing and implementing a long-term scientific roadmap on Engineering AI systems in the application domains of Health, High-Tech Systems, and Mobility, which represent TU/e strengths.
Artificial Intelligence already plays a meaningful role at the TU/e. Every day, some 100 scientists in Eindhoven are busy developing new knowledge and smart applications of this promising technology. They create prize-winning soccer robots, human-friendly drones for the healthcare sector, 3D computer vision systems for autonomous cars, methods for medical image analysis based on deep learning, and smart applications of data from health apps.
Therefore, the university has decided to invest in AI research and education. EAISI has had an outstanding start and significant impact in the national discussion already. The task now is to shape the institute further.
Link:
https://jobs.tue.nl/en/vacancy/scientific-director-ai-846433.html
PhD/PostDoc Machine Learning
TU Kaiserslautern
Do you want to become a part of my new research group at Uni Kaiserslautern, Germany? I am working on text data, but also have a position related to machine learning on chemical engineering available (starting now/soon). If you are looking for a PhD or a PostDoc in the broad field of generative models in machine learning, please contact me. I would be happy to offer more information.
Link:
https://www.datamining.informatik.uni-mainz.de/sophie-burkhardt/
Several open positions at CAISR: senior lecturer, assistant professor, postdoct & researcher
Halmstad University
The Center for Applied Intelligent Systems Research (CAISR), is a long-term research program on intelligent systems established by Halmstad University, with support from Swedish industry.
The scientific focus for the Center for Applied Intelligent System Research (CAISR) is autonomous and interactive knowledge creation, and "aware" intelligent systems – human aware, situation aware, and self-aware. These systems can communicate with people, assess people's intentions and combine different sources of information to get an overall picture and monitor themselves. Several industrial partners are collaborating with researchers from the University in joint projects, and also take an active part in the development of CAISR. The key application areas for CAISR's research are health care technology and intelligent vehicles.
At the moment there are several open positions at CAISR, at various levels: senior lecturer, assistant professor, postdoct & researcher
For more details, and to apply, visit our website at https://hh.se/english/about-the-university/vacant-positions.html or contact Slawomir Nowaczyk, Professor in Machine Learning, at Slawomir.Nowaczyk@hh.se
Link:
https://hh.se/english/about-the-university/vacant-positions.html
Data Scientist, Senior Data Scientist, Data Engineer
Hoffmann La Roche
Global healthcare demands are increasing which puts significant strain on healthcare resources. The unprecedented convergence of medical knowledge, advanced analytics, and data science is transforming healthcare towards a more sustainable system and better outcomes for patients.
At Roche, we are on a mission to leverage data, analytics, and technology to develop better healthcare solutions for patients faster!
To be successful in our mission we need talent like you!
Submit an open application to become part of the Roche Talent Community!
Link:
https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202009-124017&locale=en&title=Data+Scientist%2C+Senior+Data+Scientist%2C+Data+Engineer
Senior Data Scientist with focus on Security of Machine Learning
F-Secure
We are looking for the right person to join the team in our Artificial Intelligence Centre of Excellence (AICE) working on solutions for securing machine learning and artificial intelligence. We are happy to consider both full-time candidates as well as researchers looking for a part-time industry role in addition to their academic career - collaboration with academia is a key part of our approach.
Please see the link below for more information!
https://emp.jobylon.com/jobs/62723-f-secure-senior-data-scientist-with-focus-on-security-of-machine-learning/
Link:
https://emp.jobylon.com/jobs/62723-f-secure-senior-data-scientist-with-focus-on-security-of-machine-learning/
(Senior) Software/Data Engineer
F-Secure
To protect our customers even better we are expending our set of core competences in the Artificial Intelligence domain, and are looking for you to join the Artificial Intelligence Centre of Excellence (AICE). The AICE team is comprised of experts in big data technologies, data processing, statistics, machine learning and data analysis, complemented with the strong foundation of cyber security inherent in the F-Secure DNA - and we are looking for someone with strong software development, cloud technology and data experience to join the team!
Link:
https://emp.jobylon.com/jobs/63226-f-secure-senior-software-engineer/
(Senior) Data Scientist
F-Secure
Are you our new Data Scientist?
At F-Secure, we are committed to helping people and businesses be free in the digital world, without having to worry about cyber security.
As part of Artificial Intelligence Center of Excellence (AICE) Data Science team, you will work on a unique set of data collected by our security software. Your focus will be on expanding the traditional threat detection capabilities and taking the approach to the next level by adding true artificial intelligence capabilities across F-Secure cyber security solutions, but of course, also many other interesting data-related problems will need to be solved along the way.
Link:
https://emp.jobylon.com/jobs/63569-f-secure-data-scientist-regularsenior/
Data Scientist
F-Secure
To protect our customers even better we are investing heavily in expanding our core competences in the artificial intelligence domain. Would you like to be one of the people taking cyber security to the next level, with specific focus on streamlining flow of our artificial intelligence / machine learning solutions from idea to production?
F-Secure is all about cyber security, but being the best in the field requires a wide variety of different skillsets. In the Security Research and Technologies department, we work on things ranging from low-level kernel drivers to artificial intelligence. We are a diverse bunch, but we all have one thing in common - what we do is meaningful and impactful.
We are looking for the right person to join the team in our Artificial Intelligence Centre of Excellence (AICE). You'll be working on a unique set of data collected by our security software. Aim is to take the threat detection to the next level by adding artificial intelligence capabilities across F-Secure cyber security solutions. Not forgetting the many other interesting data-related problems, which need to be solved along the way.
Link:
https://emp.jobylon.com/jobs/63377-f-secure-data-scientist/
Academic Staff Member (Postdoctotal Researcher and PhD)
University of Potsdam
The Machine Learning Research Group of the University of Potsdam, Department of Computer Science is seeking two doctoral and two postdoctoral researchers to work within the interdisciplinary Junior Research Group A.Eye. – Artificial Intelligence for Eye tracking data. Deep Learning methods for the automated analysis of cognitive processes. All positions start on October 1, 2020 and are limited to four years.
This project aims to develop machine learning methods for the analysis of eye tracking data to make inferences about cognitive processes or mental states of an individual. The developed models shall take into account findings from cognitive psychology and psycholinguistics about human eye movement behavior. The project will focus on four application areas: diagnosis of developmental language impairments, adaptive e-learning, driver monitoring and biometrics.
Job description:
• Developing and publishing machine learning methods for the above mentioned application areas.
• Designing and conducting eye tracking experiments.
We offer:
• Independent work in a highly motivated team
• Opportunity for scientific training and participation in national and international conferences and work-shops
• Support for further academic qualification
Requirements:
• Degree (MSc for PhD positions, PhD for postdoc positions) in Computer Science, (Computational) Cognitive Science, Computational linguistics or a related field.
• Very good programming skills
• Very good knowledge in machine learning and mathematical foundation.
• Very good knowledge of English
For more information, please contact Dr. Lena Jäger. Women and disabled persons with equal qualifications are given priority. Applications (motivation, curriculum vitae and certificates of relevant qualifications) should be sent to lena.jaeger@uni-potsdam.de as soon as possible, but no later than September 24th.
Link:
https://www.uni-potsdam.de/de/cs-ml/index
Machine Learning Engineer (Belgium, remote)
Ester
See https://esterai.recruitee.com/o/machine-learning-engineer-belgium
Important: Requires permission to work in EU/Belgium
Link:
https://esterai.recruitee.com/o/machine-learning-engineer-belgium
Data Engineer (Belgium, remote)
Ester
See https://esterai.recruitee.com/o/data-engineer-belgium
Important: permission to work in EU/ Belgium is required
Link:
https://esterai.recruitee.com/o/data-engineer-belgium
PhD student
TU Wien
Having recently launched the Machine Learning research unit, TU Wien Informatics is looking to hire as soon as possible further machine learning PhD students. We investigate fundamental machine learning questions and demonstrate the applicability of novel algorithms in real-world applications, often together with colleagues and collaborators from other disciplines such as Chemistry. Challenges that we investigate often involve structured data such as graphs, iterative learning processes such as online/active learning, approximation/convergence guarantees, and computational questions such as the parallelisation of machine learning algorithms. Some of the positions will be embedded within the TU Wien Doctoral College for Secure and Intelligent Human-Centric Digital Technologies, working for instance on Trustworthy Machine Learning.
Link:
https://ml-tuw.github.io/hiring_en/
Data Science and Engineering Consultant
delaware
We are looking for experienced Data Science and Engineering profiles for our Data and Analytics domain. You can expect a balance of 80% Data Engineering (big data) and 20% Data Science work.
Job vacancy:
https://www.delaware.pro/en-BE/Careers/data-and-analytics/data-and-analytics-consultant
Technology:
https://www.delaware.ai/ecosystem/azure-databricks
https://www.delaware.ai/ai-technology
Link:
https://www.delaware.pro/en-BE/Careers/data-and-analytics/data-and-analytics-consultant
Several PhD positions opening at the Faculty of Sciences, University of Lisbon
Faculty of Sciences, University of Lisbon
Under the scope an H2020 project starting on the 1st of October, in the next couple of weeks we will be opening several PhD positions:
- Artificial intelligence in building energy self-assessment and optimization
- Artificial intelligence in appliance energy self-assessment and optimisation
- Machine Learning Models for an IoT platform Data Quality Layer
- Model Predictive Control for Buildings Energy Resource Management Services
- Robust Deep Learning based CyberThreat Intelligence
- Smart assessment of buildings IoT Components for human-centered Buildinf Information Modelling
- Hybrid AI (RL and MPC) for Building Systems Control
If you are interested in one these topics, please send me an email:
(Pedro M. Ferreira) pmf@ciencias.ulisboa.pt
PhD (and job as workingstudent) in industry
SIEMENS
If you are passionate about innovations that mean real progress. If you would like to turn your ideas into reality. However, you would still like to strive for a PhD please contact me.
You will have the opportunity to directly apply research results in industry-relevant projects around flexible, explainable production planning scenarios in the area of Industry 4.0
PostDoc
University of Augsburg
Supervise a group of PhD students in industrial (I4.0) applications of AI
Link:
http://www.isse.de
Post-doc positions at Compiègne, France (uncertainty in ML)
université de technologie de Compiègne
We are currently offering two post-doc positions related to uncertainty management in machine learning, respectively on graph inferences and on preference learning. See provided link or send mail for details.
Link:
https://www.hds.utc.fr/~sdesterc/
Senior Researcher on NLP and Knowledge Systems
ASML
We are looking for a Data Scientist to join the Data-Science Research team. We would liketo investigate ways to leverage the strength of Data Science and Machine Learning by applying Artificial Intelligence, with a focus on Knowledge Extraction, Knowledge Representation and Reasoning Systems.
Link:
https://www.asml.com/en/careers/find-your-job/1/7/0/senior-researcher-on-nlp-and-knowledge-systems-req17066
Fully funded PhD/project position in NLP
INESC TEC (research)
LIAAD INESC TEC is looking for a a highly motivated Master interested in pursuing a PhD in Natural Language Processing. Some knowledge of Portuguese is highly appreciated. Grant should start in November.
The position covers monthly grant and PhD fees. The selected candidate may also be involved in other applied NLP projects.
The research line is Narrative Extraction from Texts with application to Journalistic and Medical text (mostly).
Postdoc position: 2 years, Insight Centre for Data Analytics, Dublin, Ireland.
UCD
Insight Centre (UCD CS, Dublin, Ireland) has a postdoc position open for applications. The position is for 2 years initially and it is funded by the Mobilise-D project focusing on real-world digital mobility assessment using machine learning, time series analysis and motion sensing data. We expect applicants to have a PhD with expertise in these areas and an excellent publication record.
If you are interested to apply, please go to https://www.ucd.ie/workatucd/jobs/
click on Internal/External applicants and use the job ref number 012678.
The deadline for applications is 17:00hrs on 13th of October 2020 (Irish time).
Re: UCD Post-doctoral Research Fellow Level 1, UCD School of Computer Science, Temporary, 24 months
Ref: 012678
Best wishes,
Georgiana.
Link:
https://www.ucd.ie/workatucd/jobs/
