Jobs Posted on the Whova Community Board of The ACM Web Conference
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Contract based Job Openings at Inria
Inria Site decicated to all the contract and project based job openings at Inria
PhD position in web security and privacy
Inria (SPIRALS team) We are looking for a motivated student to do a PhD with us at Inria in Lille (FR)! The topic is on looking at the security of existing and new Web standards. If you are interested or if you have any questions, don't hesitate to reach out to us, we'll be very happy to hear from you!
Phd position in web privacy and software engineering
Inria (SPIRALS team) We are looking for a motivated student to do a PhD with us at Inria in Lille (FR)! The topic is on performing automated software testing to improve the privacy of current web browsers. If you are interested or if you have any questions, don't hesitate to reach out to us, we'll be very happy to hear from you!
Jr/Sr/Staff/Principal Machine Learning Scientist
Walmart Labs Keywords: Search Science, Ad Retrieval, Ad Ranking and Relevance Deep Learning, BERT, Learning to Rank
Research Fellow (Multimodal, NLP)
Singapore University of Technology and Design Research Fellow positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design, Singapore. The Research fellows will be involved in the research and development of multimodal AI models and algorithms for natural language processing and generation.
Job Responsibilities - Research on the cutting-edge AI algorithms for processing multimodal and unstructured textual data. - Work with other researchers and PhDs to develop AI applications related to multimodal and natural language processing. - Lead a team of junior researchers, e.g., Ph.D. students and research assistants, to help with the deep learning, natural language processing and data analytics tasks - Discussion and study of recent papers and baseline codes in this field. Report to the advisor and the team weekly. - Prepare and publish research papers at top-tier conferences and journals. - Help prepare the proposal and progress report.
Job Requirements The successful applications are expected to possess Ph.D. Degree in Computer Science or Engineering from reputed universities, with research experience in related fields. - Research and Comprehensive Skills: - Independent and self-motivated researcher - Good paper reading and writing skills - Good publication record, including top-tier journals and conference papers in the related fields. - Coding Skills: - Familiar with any of the major deep learning libraries, including Pytorch and TensorFlow. - Comfortable with Linux environment, including using vim, git, tmux, bash, etc.
Research Assistant (Multimodal, NLP)
Singapore University of Technology and Design Research Assistant positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design, Singapore. The Research Assistants will be involved in the research and development of multimodal AI models and algorithms for natural language processing and generation.
Job Responsibilities - Implement algorithms for processing multimodal and unstructured textual data. - Work with other researchers and PhDs to develop AI applications related to multimodal and natural language processing. - Develop analytical visualization dashboards and prototype systems. Job Requirements The successful applications are expected to possess Bachelor or Master's degree in Computer Science or Engineering from experience in machine learning, deep learning, and natural language processing. - Coding Skills: - Familiar with any of the major deep learning libraries, including Pytorch and TensorFlow. - Familiar with at least one web development framework (e.g., Ruby on Rails, Flask, etc.) - Familiar with SQL and Hadoop is a plus. - Comfortable with Linux environment, including using vim, git, tmux, bash, etc.
Singapore Management University Post-doc positions in the broad areas of data mining and machine learning, with an emphasis on graph neural networks, recommendation systems, knowledge graphs and social/web data analysis.
[SMU is ranked No. 35 globally (No. 14 in Asia) in the broad AI category and No. 81 globally (No. 14 in Asia) in the overall CS discipline according to CSRankings.]
Junior Professor Chair
Lyon 1 University A Junior Professor Chair position entitled "Data-Intensive Systems for Health" is open at Lyon 1 University (France), with a research assignment at LIRIS (UMR CNRS 5205) Laboratory in the DB group and a teaching assignment at the Computer Science Department. We are looking for candidates holding a PhD in Computer Science with expertise on data management and in particular on (i) large-scale data systems, encompassing data preprocessing, data storage, query processing tasks (ii) Big Data analytics, allowing in-depth analysis of large-scale raw data enriched with Machine Learning techniques. These techniques can be applied to multidisciplinary domains, and, in particular, to medical use cases thus allowing domain experts to obtain insights for patient’s diagnosis and scientific studies. In particular, Lyon 1 University and the healthcare institutions as well as hospitals in Lyon intend to strengthen their scientific collaborations. The candidate will have the opportunity to work in this multidisciplinary environment and to design data-centric applications for healthcare. We are seeking excellent high-profile candidates, who have at least two years of postdoctoral experience and a strong publication record in top-tier journals and conferences in the data management field. The position at Lyon 1 University must be filled on September 1, 2022 as a 4-year fixed-term contract, followed by tenure as a Full Professor at Lyon 1 University on September 1, 2026.
Please apply on the French Galaxie application portal (by May 23, 2022): https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_postes_GALAXIE.htm
Interested candidates are invited to contact us as soon as possible:
- Angela Bonifati (Head of the Database Group at LIRIS): email@example.com - Jean-Marc Petit (Director of LIRIS): firstname.lastname@example.org
Postdoctoral Scholar Position at the University of Washington Behavioral Data Science Group
University of Washington http://bdata.uw.edu/
Prof. Tim Althoff is inviting applications for a research position of Postdoctoral Scholar in the Behavioral Data Science Group. Our research focuses on developing computational methods that leverage large-scale behavioral data to extract actionable insights about our lives, health and happiness through combining techniques from data science, social network analysis, and natural language processing. We currently apply these methods to mental health, misinformation online, scientific reproducibility, and informing the COVID-19 response. Examples of potential projects include: Deep learning for graphs, code, and behavioral time series, AI for health and mobile health. Qualifications
We are seeking highly motivated postdoctoral researchers with background in computer science and machine learning to join our group in a quest to perform breakthrough research on approaches that advance data science. An ideal candidate has strong research skills in relevant areas: deep learning, representation learning, machine learning for mobile health, or learning on graphs. A Ph.D. degree or equivalent is required. Strong programming skills, experience in causal inference or natural language processing, and experience with supervising and mentoring students are a plus.
How to Apply: https://docs.google.com/document/d/1h44Gz1wOMx6QhHUWv9QFB3Jnrn-JzEMPHC0WZhPMEqU/edit
Qatar Computing Research Institute (QCRI) Qatar Computing Research Institute (QCRI) welcomes applications for roles of Principal Scientists with expertise in machine learning, deep learning, computational linguistics and NLP, to lead exciting new initiatives within the Arabic Language Technologies Group.
hD Scholarships in Human-in-the-loop AI at The University of Queensland, Brisbane, Australia
The University of Queensland, Australia Your research will focus on new AI methods, and on developing new human-in-the-loop solutions for text analysis. You will be part of a challenging and unique international research environment. PhD scholarships under the supervision of A/Prof. Gianluca Demartini starting October 2022 are available in the context of the SNSF Sinergia project "Large-Scale Political Participation: Issue Identification, Deliberation, and Co-creation".
You should possess good knowledge in information retrieval, machine learning and/or recommender systems. Very good proficiency in English is expected, as well as an outstanding B.Sc.(honours) or M.Sc. in computer science. You should also have the ability and willingness to work with experts from different disciplines.
The University of Queensland, Australia is a world's top 50 university (QS World University Rankings 2022). Embedded in the Data Science discipline at The University of Queensland, you will be part of a world-leading research group with research funding coming both from the industry sector (e.g., Facebook, Google) and the public sector.
Host for the 2032 Olympic Games, Brisbane is one of the fastest-growing capital cities in Australia in terms of population and employment. Brisbane residents are young and skilled, highly educated and culturally diverse. With 12 months of sunshine filled days and clear blue skies, Brisbane has a climate that sets the scene for year-round alfresco activities. Even in the midst of a Brisbane winter you’ll be yearning to play in the parks and dine outdoors. As the most biologically-diverse capital in Australia, Brisbane is a green city with clean, healthy air and a clear commitment to its environment. The Brisbane City Council achieved carbon neutral status for its operations in 2017. Brisbane’s public transport system is a clean and green network of trains, ferries (CityCats) and buses that have been integrated so commuters can travel seamlessly between each service when using a go card.
Research Assistants and Post-Doc Position at CUHK
The Chinese University of Hong Kong Working on a video summarization project or information retrieval project for invest company; Qualified candidates can join our lab immediately； Research assistant with master degree (HKD21,000 per month) / Postdoc with PhD (HKD32,000 per month);
If you are interested in these positions, please contact me on Whova or email me (email@example.com) after the conference.
Data Protection Lawyer
noyb - Europäisches Zentrum für digitale Rechte We are currently looking for mid-level and senior lawyers for our legal team. Check out our posting and send us an email if you have further questions!
Security Data Scientist and Data Engineers (different levels)
Elastic We're looking for a two security data scientists and a data engineer at Elastic. If you're interested or you know someone that's interested, please, do reach me out.
Postdoc and research assistant positions in Natural Language Processing
MBZUAI Postdoc and research assistant positions in Natural Language Processing
Postdoc / Senior Researcher Information Retrieval & Knowledge Graphs
GESIS – Leibniz Institute for the Social Sciences We are looking for a Postdoc / Senior Researcher to work on Information Retrieval & Knowledge Graphs. Join us in Cologne, Germany.
2 Ph.D. and 2 PostDoc Position in Information Retrieval, NLP and Knowledge Graphs
GESIS - Leibniz Institute for the Social Sciences We have two open Ph.D. positions and two PostDoc positions to work on Information Retrieval, NLP, and Knowledge Graphs. If you are interested, please reach out.
eBay Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay – a company you can be proud to with.
Ph.D. and PostDoc Positions to work on NLP, ML and Big Data
GESIS – Leibniz Institute for the Social Sciences GESIS is currently conducting a major effort to explore big data in combination with artificial intelligence-based methods for creating novel insights and infrastructures for the social sciences. Examples include techniques for opinion mining, stance detection or classification of online behavior and interactions as observed in social web platforms and other data-intensive environments.
In this context, we offer an exciting opportunity to conduct excellent research and create innovative methods and infrastructures for mining data from mobile apps and sensor data obtained from mobile devices, e.g., to detect patterns of online and offline behavior using machine and deep learning methods. A special focus will be on transparency, fairness and reproducibility of applied methods.
The department Knowledge Technologies for the Social Sciences (KTS) conducts research at the intersection of information retrieval, natural language processing (NLP), human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data.
We have several open positions (different levels Ph.D. and PostDoc ) with a focus on NLP, ML, and Big Data. Please, DM for more information.
Data Interoperability Solution Architect and Lead Engineer
Inria We will soon open a job offer for the architect and chief engineer of a large data interoperability project, which is interested in building a prototype distributed architecture for data publication and exchange. This architecture will be based on open Web standards (protocols, formats, vocabularies), in order to ensure the durability and independence of the actors (public and private) participating in these exchanges: the ambition is to propose a technological infrastructure to give back to all the actors the hand on "their" data, and to limit the effects of "natural monopoly" preventing the emergence of French and European competitors in front of the currently dominant actors. You will design, contribute to and technically supervise this project and its two components: (1) the architecture, models, algorithms and vocabularies, to enable decentralised and distributed storage, publication, access and processing of datasets according to open standards and (2) the production of the open source code of the necessary software integrating as much as possible with other initiatives, and based on open standards and open-source (e.g. W3C, SOLID, Apache, Nginx, etc.). The expected professional skills are : - Knowledge and experience in the fields of open data, data publishing, data and knowledge bases, linked data, web of data - Experience in producing open source code and robust, high performance software - Knowledge of open web standards, standards bodies.
Applied Researcher 2
eBay Inc. We are looking for stellar applied researchers to join us and build the next generation of query understanding products in eBay search. If you enjoy the scale and technical complexity of query processing (understanding query intent, entity resolution and tagging, categorization, intelligent query rewrites and clustering, application of knowledge graph, to name a few) and want to be at the frontier of applied research in e-commerce, join now. Help us redefine query understanding at eBay.
Seek scientifically valid solutions that deliver real value to eBay customers Build machine learning models and data pipelines to deliver insightful yet practical solutions Work with multiple teams to help promote standard scientific methodologies and processes in your field Present key technical and novel research work in public forums and conferences
MS or PhD in Computer Science, Statistics, Mathematics, or equivalent 1+ years (with PhD) or 3+ years (with MS) of industrial experience in a related field Industrial experience with one or more of the following: classification, regression, NLP, GBM, recommendation systems, clustering, fraud detection, Deep Learning/Neural Networks, or related Experience in big data processing, e.g. Hadoop, SQL, Spark Experience with Python or R, and Java or Scala or C/C++ 2 or more related publications in quality conferences or journals.
Visiting Master/PhD student
Singapore Management University We have funding to support visiting master/phd students. Applicants must be a full time masters/phd student at their home institute.
Research areas: graph neural networks, recommendation systems, knowledge graphs.
[SMU is ranked No. 35 globally (No. 14 in Asia) in the broad AI category and No. 81 globally (No. 14 in Asia) in the overall CS discipline according to CSRankings.]
Applied Science internship
Amazon Are you a Ph.D. student interested in an Internship in the fields of conversational recommendation systems? Join our team for a summer or fall 2022 Applied science internship at Amazon Music. See the link below for more details, and feel free to contact me directly.
Careers at Inria: meet our human resource service on the Inria stand Gather Twon Hall A
Inria Meet Inria HR services at our virtual stand on GatherTwon (Hall A pour Inria) https://app.gather.town/app/gZcEkq3wwhVuQopp/TheWebConf%2022%20-%20A
Senior Machine Learning Engineer
Elastic We're looking for a senior machine learning engineer for the cybersecurity domain.
Applied Scientist/ML Engineer
Amazon Excited to share our 4 publications at The ACM Web Conference 2022, 1. AmpSum: Adaptive Multiple-Product Summarization for Explainable Recommendation 2. Retrieval-Enhanced Event Prediction on Unified Query ProductTemporal Graph 3. Personalized Complementary Product Recommendation 4. Multi-task GNN for Substitute Identification
My team is actively hiring both Applied Scientists and ML Engineers, feel free to reach out to me via firstname.lastname@example.org or directly apply through https://www.amazon.jobs/en/jobs/1983222/applied-scientist-personalization?no_int_redir=1.
Job Summary: Are you interested in big data, machine learning, and product recommendations? If so, the Product Semantics team in Amazon Product Graph might be the right place for you. We are a team in a fast-paced organization with a huge impact on hundreds of millions of customers. We innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems.
The Product Semantics team in Amazon Personalization, based in Seattle and New York City, is looking for scientists who love big data, are passionate about understanding products and product relationships from product profiles, reviews, and search log, and who are capable of inventing and applying Machine Learning, NLP, and Computer Vision techniques that will leave no valuable data behind. Our applied scientists work closely with software engineers to put algorithms into practice. They also work in partnership with teams across Amazon to create enormous benefits for our customers.
New York University Abu Dhabi We are looking to hire 2 postdocs in our research group, ComNets NYUAD. Looking for strong and motivated applicants in Systems, Web, ML, or Networks. More details can be found here: https://apply.interfolio.com/104615
Feel free to email at email@example.com
SOLID/Linked Data: Applied Research PhD Student or Post Doc (permanent position)
DATEV eG A research project position in the technology innovation unit of DATEV (a top-10 software development company in Germany). Integrated into a research project with two academic partners, however, we offer a permanent employment. Topic: Linked Data, Semantic Web, SOLID, data sovereignty, knowledge engineering, data-driven digital ecosystems.
PhD Position (fully funded 3 year project)
University of Caen Information extraction from discussions and semantic data enrichment in order to support the treatment of patients suffering from chronic diseases.