PhD student
KNAW Humanities Cluster
Fully funded 4-year PhD position on the ERC-funded TRIFECTA project (in the Netherlands, PhD students are employees, so it comes with a salary, a holiday allowance, an end-of-year-bonus, internet and home working allowance and pension accrual etc.).
In this project, you will combine language technology and semantic web research to create a database that can be used to explore the cultural and societal contexts of contentious entities and concepts in the domain of maritime history.
Link:
https://vacatures.knaw.nl/job/Amsterdam-PhD-student-ERC-Project-TRIFECTA/940102955/
Postdoctoral researcher - Amsterdam - Semantic Web/NLP & Maritime History (4 years)
KNAW Humanities Cluster
4 year postdoc position on the ERC-funded TRIFECTA project. This project will combine language technology and semantic web research to create a database that can be used to explore the cultural and societal contexts of contentious entities and concepts in the maritime history domain. It is based at one of the Dutch Royal Netherlands Academy of Arts and Sciences' research institutes in downtown Amsterdam.
Link:
https://vacatures.knaw.nl/job/Amsterdam-Postdoctoral-researcher-ERC-Project-TRIFECTA-%284-years%29/940447655/
Postdoctoral Researcher - Societal Computing
Saarland University
The Societal Computing Group, led by Prof. Ingmar Weber (Alexander von Humboldt Professor for AI), is looking for a Postdoc to join the newly created team. Expertise in data science (very broadly defined) and an interest in interdisciplinary research are a must. Previous experience in working with non-profit stakeholders, e.g. in the humanitarian sector, is a plus.
Link:
https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaftler/W2288.pdf
Ph.D. Internship (NLP, HCI, Data Science, Machine Learning/Deep Learning/Large Language Models, Computer Vision, Complex Networks, Knowledge Graphs, Multimodality)
Dataminr
You’re a Ph.D. candidate who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI, working in a highly collaborative environment and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator. This position is available remotely from anywhere in the US.
Link:
https://boards.greenhouse.io/dataminr/jobs/5004505
PhD student/Postdoctoral researcher - applied machine learning for healthcare
University of Texas Health Science Center at Houston
Postdoc opportunities at interdisciplinary area of data science and biomedicine. Focused on applied machine learning for healthcare. Special focus on counterfactual learning and federated learning. We have access to large amount of unique healthcare data that will increase your research impact and significance. Collaborate with top-tier hospitals and research institutes
Link:
None
PhD Student Knowledge Graph Research for Food Informatics and Health Informatics
Kansas State University
Always looking for motivated students who want to work with food and health informatics data at Kansas State University, a landgrant university with huge agricultural research possibilities.
Researcher privacy and security of machine learning
Telefonica R&D
Main responsibilities:
- Propose and develop research ideas for advancing the state of the art in their field.
- Create and lead strong collaborative associations with academic institution, industrial partners, customers, and government agencies.
- Disseminate research results via publications and demonstrations in major academic and industrial venues worldwide.
- Generate Intellectual Property for Telefonica research team and other units.
- Seek partnerships with business (and other Telefonica) units to ensure the successful exploitation of research outputs.
- Supervise intern students, collaborate openly with other researchers, as well other Telefonica members.
- Pursue funding opportunities for personnel and/or equipment and/or research visits, via proposal writing and submission for National and/or European and/or International competitive grants.
Qualifications
- Ph.D. in Computer Science, Telecommunication, Privacy/Security, Networking or any related fields. (Or PhD expected in next few months).
- Proven track of strong research output (e.g., publications to top venues).
- Strong verbal, visual, and written communication skills.
- Ability to work in a highly collaborative and interdisciplinary environment.
- Ability to communicate their ideas and results effectively and concisely.
- Strong knowledge and experience for research in the area of security and privacy of machine learning systems.
- Strong knowledge and experience for research with tools (e.g., methodologies, software, testbeds, models, etc.) related to the above areas.
- We are seeking candidates at all level of seniority.
Link:
https://jobs.telefonica.com/job/BARCELONA-Talent-Hunter-Researcher-privacy-and-security-of-machine-learning/757169601/
Researcher in Secure Serverless Cloud Computing
Telefonica R&D
Main responsibilities:
- Propose and develop research ideas for advancing the state of the art in their field.
- Create and lead strong collaborative associations with academic institution, industrial partners, customers, and government agencies.
- Disseminate research results via publications and demonstrations in major academic and industrial venues worldwide.
- Generate Intellectual Property for Telefonica research team and other units.
- Seek partnerships with business (and other Telefonica) units to ensure the successful exploitation of research outputs.
- Supervise intern students, collaborate openly with other researchers, as well other Telefonica members.
- Pursue funding opportunities for personnel and/or equipment and/or research visits, via proposal writing and submission for National and/or European and/or International competitive grants.
Qualifications
- Ph.D. in Computer Science, Telecommunication, Privacy/Security, Networking or any related fields. (Or PhD expected in next few months).
- Strong knowledge and experience for research in the area of cloud computing (e.g., containers, serverless computing, confidential computing, eBPF, WebAssembly, etc.)
- Proven track of strong research output (e.g., publications to top venues).
- Strong verbal, visual, and written communication skills.
- Ability to work in a highly collaborative and interdisciplinary environment.
- Ability to communicate their ideas and results effectively and concisely.
- Strong knowledge and experience for research with tools (e.g., methodologies, software, testbeds, models, etc.) related to the above areas.
- We are seeking candidates at all level of seniority.
Link:
https://jobs.telefonica.com/job/Researcher-in-Secure-Serverless-Cloud-Computing/928597601/
Scientific Research Internships
Telefonica R&D
Telefonica Research is a leading industrial research lab based in Spain. At Telefonica Research, we follow an open research model in collaboration with Universities and other research institutions, promoting the dissemination of scientific results both through publications in top-tier peer-reviewed international journals and conferences and technology transfer. Our multi-disciplinary and international team counts several full time researchers, holding PhD degrees in various disciplines of computer science and electrical engineering.
We are seeking candidates for internship positions (both PhD and Master student level) to strengthen and complement our efforts in the areas we currently work on:
- Distributed systems and networks
-Network measurements and analytics
- Reinforcement Learning
- Federated Learning and Privacy Preserving Machine Learning
- Web and algorithmic transparency and accountability, data leakage and network economy
- Security and privacy
- Human-computer interaction
- Speech and Natural Language Processing and Dialogue
- Information Retrieval
- Edge computing
- Software Defined Networking and programmable dataplanes
Link:
https://jobs.telefonica.com/job/BARCELONA-Scientific-Research-Internships/771897001/
Postdoctoral researcher on ontological engineering
Universidad Politécnica de Madrid
Do you love working with ontologies?
Would you like to delve into ontology engineering and shape the future of knowledge representation?
What if your research in ontology engineering could revolutionize the way we organize and understand complex data, unlocking new insights and breakthroughs that could change the world?
We are looking for a postdoctoral researcher who wants to develop a research line in any of the following topics (or combination of them):
Visual representation of ontologies (notations, views, image generation, browsing, etc.).
Visual ontology design patterns (specification, identification, testing, publication, use, etc.).
Ontology testing (refactoring, automation, conformance, certification, etc.).
Besides, you will be expected to take on both research and development tasks and to develop software systems to support ontology engineering and usage
Link:
https://chowlk.linkeddata.es/joinUs.html
PhD position | Graph Learning on Financial Networks
Complexity Science Hub
We search for an excellent young scientist with a master’s degree or equivalent in computer science, physics, mathematics, statistics,
engineering, or related fields. Basic knowledge of network analytics and machine learning techniques is a plus. The
successful candidate will investigate graph learning techniques on financial networks, especially those constructed from
cryptoasset transactions, and learn about the impact of cryptoassets in the real economy. The applicant must be critical,
open-minded, self-motivated, and collaborative.
Link:
https://www.csh.ac.at/wp-content/uploads/2023/04/CSH_PhD_Graphlearning-1.pdf
Postdoctoral Researcher
CENTAI
We are looking for postdoctoral researchers to work on coordinated inauthentic behavior.
As a researcher at CENTAI, you will have the opportunity to work on some of the most pressing societal challenges, including detecting online coordinated inauthentic behavior such as disinformation and propaganda campaigns and spreading fake news, and deep fakes. The aim is to make the social, economic, financial, and environmental systems more resilient to a diversity of stressors. You will collaborate with a team of world-class researchers, and have access to exclusive data provided by industrial partners while being fully embedded in a research institute with the freedom of pursuing your curiosity-driven research goals.
The ideal candidate will have a Ph.D. or equivalent degree in Physics, Computer Science, Mathematics, Statistics, or a related quantitative field, and fluency in English, both spoken and written. We are looking for individuals with a record of high-quality publications in the relevant areas, a passion for tackling challenging problems, and the ability to collaborate effectively with a team. Experience working in industrial research collaborations or within multidisciplinary groups is a plus.
Link:
https://centai.eu/news/call-for-position-coordinated-inauthentic-behavior
Postdoc/developer for Digital Twin-oriented Virtual Research Environments and Infrastructure Services
University of Amsterdam
We are looking for two researchers on the subject of ‘digital twins-oriented virtual research environment and infrastructure services’. The positions will be funded by the NWO project LTER-LIFE. LTER-LIFE is a large-scale research infrastructure in the making; it aims to provide a state-of-the-art e-infrastructure to study and predict how changes in climate and other human-induced pressures affect ecosystems and biodiversity.
One of the grand challenges in ecology is to understand and predict how ecosystems are impacted by changes in environmental conditions, and external pressures. Predicting how complex ecosystems will behave under different scenarios requires combining empirical and observational data. To truly predict how ecosystems and landscapes will respond to current and future global change, we need to increase the availability of existing environmental long-term datasets, integrate disparate types of ecological data, and create a user-friendly and secure cloud-based digital modelling and simulation platform that can be used to link data to models and scenarios. This can be done by creating Digital Twins of entire ecosystems.
A Digital Twin is “a digital replica of a living or non-living physical entity”. Building Digital Twins of ecosystems has only recently become possible as Big Data, artificial intelligence (AI) applications and analytics, advanced computing infrastructure, and the FAIR principles have been developed and made available for ecology, ecosystem restoration, and biodiversity science. This approach brings together data scientists, informaticians, and ecologists in research communities around ecosystems. Detailed information on the LTER-LIFE project can be found here.
We offer a temporary employment contract for 38 hours per week for a period of 36 months. The preferred starting date is September 2023.
Link:
https://vacatures.uva.nl/UvA/job/Two-Postdocs-on-Digital-Twin-oriented-Virtual-Research-Environments-and-Infrastructure-Services/769473102/
Post doc position in theoretical aspects of machine learning
Aarhus University
This is a position in the research group on Algorithms, Data Structures, and Foundations of Machine Learning. See the link below for more information.
Link:
https://www.au.dk/om/stillinger/job/post-doc-position-in-theoretical-aspects-of-machine-learning-at-computer-science-aarhus-university-1
PhD Position - Adaptive security framework for microservices-based cloud applications
Inria (DiverSE team)
Microservices are an architectural model in which an application is decomposed into smaller, independent services that communicate with each other. Each microservice is responsible for a specific business functionality and can be deployed, scaled and maintained independently of the other services. This approach to software architecture allows for faster development, easier maintenance, and more resilient systems.
The recent evolution towards microservices-based web applications has led to an increased need for security practices to ensure their confidentiality, availability, and compliance with legal requirements.
Existing approaches proposed in the literature do not take into account contextual information when implementing a security mechanism (traffic encryption, OAuth2.0, OpenID Connect, etc.) to prevent security breaches (unencrypted data, insufficient access control, unauthenticated traffic, etc.) [1,2]. These approaches are rigid and become ineffective when the context of microservices changes. This change may be related to the user or microservice's location, user behavior, the load received on the microservice, interactions between different microservices, etc.
Knowledge of context is crucial to provide more effective security measures tailored to the specific needs of the web application. By being aware of its context, the application can dynamically adjust security measures to respond to the evolving threat landscape, ensuring that sensitive information and resources are protected at all times.
The aim of this PhD is to detect security-related anomalies in cloud applications following a change in context, in order to dynamically remedy them. This project falls within the context of software security.
Link:
https://jobs.inria.fr/public/classic/en/offres/2023-05924
Postdoc at UT Austin with Matt Lease
University of Texas at Austin
See google doc job ad: http://tiny.cc/ut-postdoc
Link:
http://tiny.cc/ut-postdoc
PostDoc in detecting and modelling misinformation spread
University of Technology Sydney
With social media as its primary carrier, propaganda and disinformation spread wider than ever before. We are observing a flurry of damaging activity – from vaccine opposition groups riding a once-in-a-century pandemic to far-right groups pushing extremist and racial targeting content. This project develops novel approaches for mis-/dis-information diffusion modelling and automated source validity quantification estimation. The goal is to understand what drives the adoption of misinformation and it can be countered.
Read more: https://www.behavioral-ds.science/extra/PostDoc_openning.pdf
Link:
https://www.behavioral-ds.science/
PhD Position - Decentralised Multimodal Knowledge Graphs
Insight @ University of Galway
The Insight SFI Research Centre for Data Analytics brings together researchers from across Ireland to create a critical mass of more than 400 researchers from Ireland’s leading ICT clusters. Researchers at Insight carry out research on a new generation of data analytics technologies in a number of key application domain areas, such as Health and Human Performance, Smart Communities, Internet of Things, Enterprise and Services, Sustainability, and Operations.
Knowledge graphs are a powerful tool for representing and reasoning about complex and interconnected data. They have numerous applications in areas such as healthcare, finance, and education. A key challenge is building and maintaining large-scale multimodal knowledge graphs. Specifically, the PhD studentships will explore the use of decentralised multimodal knowledge graph techniques to improve the efficiency and effectiveness of knowledge graph construction and management. The research will focus on developing distributed algorithms for knowledge graph construction and management that can handle large volumes of multimodal data and scale to meet the demands of real-world applications. This will entail designing methods for continuous updates of knowledge graphs that can accommodate new information as it becomes available, while maintaining the consistency and accuracy of the graph. The PhD studentships will explore fundamental research on models and techniques for multimodal event processing, data engineering and knowledge graph engineering and management.
Link:
https://www.insight-centre.org/job/phd-scholarships-in-decentralised-multimodal-knowledge-graphs/
Research Scientist - Blockchain Intelligence
TRM Labs
TRM Labs is looking for a Blockchain Research Scientist.
At TRM Labs, you will collaborate with an experienced team of engineers, data scientists, and research scientists to build scalable systems to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
┏━━ The impact you'll have here: ━━┓
⇨ Conduct end-to-end applied research and development.
⇨ Build prototypes of new ideas in rapid sprints. Suggest approaches and methods from recent advances in the Machine Learning / Graph Analysis / Topological Data Analysis fields, and drive their adoption within the team.
⇨ Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems using either existing or novel methods on top of TRM's data infrastructure.
⇨ Work towards long-term ambitious research goals, while identifying intermediate milestones.
⇨ Communicate with and advocate to a wide audience of engineers, managers, and executives to inform decisions on how TRM's capabilities evolve.
┏━━ What we’re looking for: ━━┓
⇨ Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree required.
⇨ You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
⇨ You have working knowledge of relational databases, (e.g. SQL)
⇨ You're able to initiate and drive research projects to completion with minimal guidance.
⇨ You have research experience in any of the following research areas: Artificial Intelligence, Data Mining, Machine Learning, Statistics, Topological Data Analysis, Network Analysis, Fraud Detection, Natural Language Processing
⇨ You have excellent verbal and written communication skills and experience in influencing decisions with information.
⇨ You know about cryptocurrencies and blockchain theory
⇨ You authored publications in relevant technical fields.
Link:
https://www.trmlabs.com/
Postdoc to work on social good problems
Qatar Computing Research Institute
The crisis computing team (https://crisiscomputing.qcri.org/) at QCRI is looking for a postdoc with expertise in artificial intelligence, data mining, and machine learning to work on real-world social good problems.
If interested and want to meet and learn more, please ping me through email at or through the Whova platform
Link:
https://crisiscomputing.qcri.org/
Principal Applied Scientist
Amazon
Our team’s mission is to create the next generation foundational scientific models for search, recommendation, and personalization that will provide a delightful experience to Amazon’s customers.
You will work alongside internationally recognized experts to develop large-scale, high-performing deep learned ML models to advance the state of the art in search, information retrieval, natural language understanding, graph neural networks, and other machine learning techniques. Your work will directly impact millions of our customers.
Link:
https://www.amazon.jobs/en-gb/jobs/2362101/principal-applied-scientist-search-explore
Applied Scientist I
Amazon
L4 Applied Science Role in Romania
The ideal candidate has a great passion for data and an insatiable desire to learn and innovate. A commitment to team work, hustle and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high-performance products requires a sound understanding of the fundamentals of Computer Science and practical experience building large-scale distributed systems. Your solutions will apply to all of Amazon’s consumer and digital businesses including but not limited to Amazon.com, Alexa, Kindle, Amazon Go, Prime Video and more.
PhD Student - Security and Privacy
Concordia University
Are you interested in cutting-edge security and privacy research? Do you want conduct top-notch research and publish at the highest-ranked venues? I am looking for candidates with: good publication record and/or strong industrial experience; strong motivation to solve difficult security/privacy problems; good academic standing; and systems knowledge and programming experience. The exact research topic is negotiable - as long as it relates to important practical areas in security and privacy.
Link:
https://users.encs.concordia.ca/~mmannan/
Machine Learning Scientist
Booking.com
As a Machine Learning Scientist you are a subject-matter expert in the theory behind one or more of the following areas of machine intelligence: recommendation systems, classification/regression problems, neural networks, gradient boosting, and their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from ideation to prototyping to full productionisation.
We have Machine Learning roles available in Performance Marketing (ads), Fraud Prevention, and Accommodations.
Ph.D. Student Positions- security + adversarial ML/NLP
The University of Texas at Arlington
Looking for motivated and strong students interested in conducting exciting research on advancing adversarial robustness of NLP and NLG models, as well as Internet integrity and safety.
Link:
https://sprlab.uta.edu
Postdoctoral Researcher - Cybersecurity
Concordia University
Looking to join a cutting-edge research team focused on solving practical cybersecurity problems? The Madiba Security Research Group at Concordia University is hiring postdoctoral fellows to develop and analyze high-impact systems and publish at top-tier venues.
Located in Montreal, which is ranked as one of the best cities in Canada for livability, the Madiba lab at Concordia University offers an ideal environment for research and academic growth. Our team works on several security and privacy problems, and our research is regularly published in top-tier conferences and journals.
Applicants should possess a high academic standard, a proven publication record, and excellent programming skills. A Ph.D. in cybersecurity or a related field are required for postdoctoral, and practical working experience in security-related jobs is an asset. Excellent written and oral communication skills in English are also required.
To apply, interested candidates should send a motivation letter, a curriculum vitae, transcripts, and the names and contacts of at least two referees to Dr. M. Mannan at m.mannan@concordia.ca.
Don't miss out on this exciting opportunity to be a part of the Madiba Security Research Group. For more information, please visit our website at https://madiba.encs.concordia.ca.
Link:
https://madiba.encs.concordia.ca
Post Doc - Decentralised Information Sharing in Data Spaces
Insight Centre for Data Analytics
Applications are invited from suitable candidates for two full-time, fixed-term, 24-month contract positions as post-doctoral researchers with the Insight SFI Research Centre for Data Analytics at the University of Galway.
The post-doctoral researchers will be expected to perform research and development in the area of decentralized information systems and data spaces within an established group of researchers and PhD students with expertise in data and knowledge engineering, data analytics and large-scale data processing, as well as a long tradition of applying this expertise in various domains, including healthcare, education, sustainability, smart cities, privacy and digital humanities.
The successful candidates will be based in the Insight SFI Research Centre for Data Analytics at the University of Galway. The candidates will be supported in their professional development, be able to avail of a range of career level focussed training opportunities, have the potential to publish research findings in leading journals and international events.
Insight is the Science Foundation Ireland (SFI) Research Centre for Data Analytics. It is one of the largest data analytics centres in Europe. It seeks to derive value from Big Data and provides innovative technology solutions for industry and society by enabling better decision-making. It supports 450 researchers across the country in areas such as the Fundamentals of Data Science, Sensing and Actuation, Scaling Algorithms, Model Building, Multi Modal Analysis, Data Engineering and Governance, Decision Making and Trustworthy AI. More information on the Insight SFI Research Centre for Data Analytics is available at www.insight-centre.org
Informal enquiries concerning the post may be made to Professor Edward Curry, galway@insight-centre.org
Link:
http://www.insight-centre.org
Post-Doctoral Research Fellow
Nanyang Technological University
Federated learning research at the TrustFUL lab in NTU, Singapore.
https://trustful.federated-learning.org/
Link:
https://ntu.wd3.myworkdayjobs.com/en-US/Careers/details/Research-Fellow--Computer-Science-Engineering-Electrical-Electronic-Engineering-Mathematics-_R00012297-1
Systems Researcher
BlackRock – Systematic Active Equity
Systematic Active Equity (SAE) is the quantitative equity group within BlackRock’s Systematic investment group.
We are seeking a Systems Researcher who will be primarily focused on computer science, data management, mathematical models and computer simulations. The main skills for this role are outstanding execution of algorithmic development and software engineering. The Systems Researcher will be part of our investment and quantitative research teams.
Link:
https://careers.blackrock.com/job/17796328/associate-systems-researcher-systematic-active-equity-san-francisco-ca/
Systems Engineer
BlackRock - Knowledge Discovery Team
Are you a systems engineer who loves to develop great algorithms and write beautiful code?
Are you curious? Do you think of research as a product? Are you keen to further your knowledge in data management and content-addressable storage? Are you having fun pushing large computer systems beyond their limits? Do you like to get your hands dirty with code and data? Are you a keen student of science and math?
We have:
● 120+ billion USD under management.
● A team of world-class computer scientists, economists, engineers, optimization specialists / applied mathematicians, and statisticians.
● Access to some of the brightest minds in the world of statistics, machine learning, convex optimization, finance, and computing.
● Data galore, structured and unstructured.
● An ample compute and storage budget.
You have:
● A passion for code and data.
● Deep experience with cloud ecosystems.
● The knowledge and drive to develop complex and robust systems.
● A keen attention to detail and the urge to "finish the back of the drawer."
● Boundless creativity and a desire to constantly learn.
● The view that data science is a team sport.
You might also have:
● Experience with access control management.
● A Master’s / Ph.D. degree in a quantitative discipline.
● Product management and agile development skills.
post doctoral researcher multimodal graph generative models
Ecole Polytechnique, France
Post-doc/research engineers – “Multimodal Graph generative models”, @DASCIM group, Ecole Polytechnique, IPP, Paris, France
Applications are invited for
- 2 Post-doc positions available in the period 2023-26
The work area is “Multimodal Graph generative models”. The broader project is related to creating multimodal graph generators – with applications to Biology, Medicine, Energy/Telecoms etc.
The candidates must have
- a recent Ph.D. degree in the following areas: Computer Science/Engineering, Applied Mathematics, Physics, Biology
- analytical skills and creative thinking with a hard working attitude
- a sound publication record with visible impact
- at least two of the following skill sets:
- Sound mathematical background
- Deep Learning skills (architecture design/optimization, good understanding of Transformers)
- Understanding pre-trained Language/Sequence Models
- Understanding of biology topics
Funding: Competitive funding for up to 36 months is available.
APPLICATIONS
Interested graduate students should send *by email*
- a cover letter including a brief presentation of their academic record, the motivation and the skills of the candidate.
- a full CV.
The above should be e-mailed Prof. M. Vazirgiannis (mvazirg@lix.polytechnique.fr)
THE LOCATION
- THE ADVANTAGES
The researchers will be based in the Informatics Laboratory (LIX) of Ecole Polytechnique, Institute Polytechnique de Paris (IPP) in the broader area of Paris. IPP is the premier engineering University of France (highly ranked internationally according to the latest University rankings (https://www.ip-paris.fr/en/about/rankings#). Famous scientists (including Nobel prize recipients) and industrial leaders are alumni of the school, offering an exceptional environment for research in the fast growing excellence pole few kilometers south of Paris. IPP is surrounded by a rich ecosystem of industries and their research centers.
PhD position - Exploring next generation ad-blockers: moving away from filter lists
Inria (Lille/Rennes)
Please contact Pr. Walter Rudametkin for more information.
PhD position - Automated testing of browsers for browser fingerprinting
Inria (Lille/Rennes)
Please contact Pr. Walter Rudametkin for more information.
Postdoc and PhD positions in Data & Knowledge Engineering / Graph Data Management
TU Wien
Multiple Podtdoc and PhD positions are available at TU Wien, Austria.
The research will be concerned with using knowledge graphs and graph technologies to enable novel perspectives of analysis and make data and results accessible through the integration of heterogeneous data, such as environmental data, genomes, ontologies, publications, external data. Of particular interest are the scalable support of evolving data, provenance, exploration, analytics, graph embeddings, and knowledge sharing.
Topics:
•Large-scale integration and querying of heterogeneous data using graph technologies
•Graph data evolution, provenance, and explainability
•Data mining and machine learning on graphs
•Exploratory analytics over graph data
More details are available here:
https://homes.cs.aau.dk/~khose/Vacancies.html
If interested, please reach out to Professor Katja Hose, katja.hose@tuwien.ac.at
Link:
https://homes.cs.aau.dk/~khose/Vacancies.html
Senior Applied Researcher
ebay
The Search Monetization team is the biggest contributor to eBay’s advertising program. We innovate at the heart of ecommerce search and advertising, with the ambitious goal of redefining ecommerce advertising. We craft an optimized experience for both buyers and sellers on eBay. We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.
We are looking for stellar applied researchers to join us and build the next generation of online advertising products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now. Help us redefine advertising at eBay.
Link:
https://ebay.wd5.myworkdayjobs.com/en-US/apply/job/Senior-Applied-Researcher_R0058095
Staff Researcher, Research Science
Samsung Research America
The Core Machine Learning research team at Samsung Research America (SRA), part of Samsung’s Visual Display Intelligence Lab, located in Mountain View, CA, is looking for an outstanding and highly self-motivated research scientist. We are looking for candidates with expertise in deep learning, computer vision, speech and language understanding.
You will work with a team of research scientists and engineers tackling real-world problems. You will also have the opportunity to publish at top-tier conferences in deep learning, computer vision, speech, and language understanding. As a research scientist, you will be involved in very promising team projects with talented people at Samsung. You will benefit a lot by working in a fun and creative environment.
Link:
https://sra.samsung.com/careers/detail/?id=6666883002&type=fte
