Postdoctoral research
Michigan state university
A post-doctoral opening in ML/NLP, Integration of Knowledge/Constraints in Deep Learning, Integration of symbolic/sub-symbolic AI: Email me (mailto:kordjams@msu.edu) if interested to join HLR research lab (https://hlr.github.io).
Link:
None
Assistant Professor in Artificial Intelligence for Decision Making
TU Eindhoven
As a successful applicant, you will work on the interface between Artificial Intelligence and decision-making methods. Examples of research directions include but are not limited to: using machine learning (such as predictive modelling and reinforcement learning) to find better solutions to optimization problems, developing decision support tools that combine data-driven models with knowledge-based models. With an embedding of the position in the school of Industrial Engineering, special attention will be paid to applications of the methods and tools in domains such as logistics, transportation, service industries, high-tech manufacturing, and healthcare.
Link:
https://jobs.tue.nl/en/vacancy/assistant-professor-in-artificial-intelligence-for-decision-making-888248.html
Assistant Professor Artificial Intelligence/ Data Sciences (Research profile – tenure track)
ESADE Business School
Candidates must have completed a PhD. In addition, they must demonstrate a trajectory of scholarship in the area of applied artificial intelligence, and the potential and motivation to publish high quality, impactful research in the leading academic journals. Applied research and transference activities related in areas related to business or management will be highly considered. Finally, the candidate must demonstrate a foundation upon which a successful teaching career across the school’s diverse portfolio programmes can be developed.
Link:
https://www.esade.edu/itemsweb/wi/faculty-positions/Esade_Faculty_Position_Data_Sciences_Artificial_Intelligence.pdf
PostDoc in Reinforcement Learning
Montanuniversität Leoben
2yr PostDoc with strong background in maths wanted for project on „Reinforcement Learning: Beyond Optimality“
Link:
personal.unileoben.ac.at/rortner
PhD position in ML and Combinatorial Optimization
Syracuse University
A Ph.D. opening is available for candidates interested in the intersection of deep learning and combinatorial optimization.
The position will start in January 2022.
Topics of interest include:
- Supervised Learning for speeding up the resolution of constrained optimization problems;
- Reinforcement Learning for dynamic and combinatorial problems;
- Graph Neural Network models for graph-structured constrained optimization problems;
- Theoretical guarantees for ML-enhanced constraint optimizers;
- Physics informed deep learning;
The project will combine fundamental aspects of optimization, constrained reasoning, and learning to develop integrated optimization and learning systems.
The ideal candidate will have a strong background in mathematics and optimization theory and a strong interest in machine learning and constraint reasoning.
Students who majored in Computer Science, Mathematics, Statistics, or Physics are welcome to apply.
An MS degree and/or publications in leading international venues will be an advantage.
TO APPLY:
Applications should be submitted at ffiorett@syr.edu and candidates should include their statement of purpose, resume, and transcript (if available).
Link:
https://www.nandofioretto.com
PostDocs (Forthcoming) on Robust Evaluation of Cognitive Capabilities and Generality in AI
University of Cambridge
The Leverhulme Centre for the Future of Intelligence (CFI) invites applications for a Postdoctoral Research Associate to work on the RECOG-AI project. RECOG-AI is a two-year DARPA-funded project on the Robust Evaluation of Cognitive Capabilities and Generality in Artificial Intelligence. The main objective of the project is to improve AI evaluation by providing a framework and benchmarks for measuring the capabilities of AI systems. The work will be drawing from multiple disciplines, but primarily from computer science, and animal and human psychology. The appointment will be for 21 months in the first instance, and is based in Cambridge, UK. There are two postdoctoral positions available.
Candidates should have (or be about to achieve) a PhD in a relevant field and should provide strong evidence of potential for research and publication at the highest level, as well as strong interest in engagement with the cognitive sciences. The appointee will also play an important role in the project's interdisciplinary activities, including discussion groups and workshops.
The following backgrounds and experiences will be an advantage, either independently or in combination: Psychology/Cognitive Science/Animal Behaviour, Expertise in AI, and particularly in areas of machine learning such as (deep) reinforcement learning, multimodal models, causal models, etc. and coding/Game Development and experience with Unity. This is a highly interdisciplinary project, and we are seeking a combination of these skills in the team. However, we do not expect any given candidate to have experience in all fields.
The posts are *forthcoming*, so please keep an eye on jobs.ac.uk or contact us in the following weeks.
Link:
http://lcfi.ac.uk/
Postdoc positions in Japan: Advancing Social Science by Market Design and its Practical Implementation
Unversity of Tokyo, Kyoto University, and Kyushu University
This project is funded by Grants-in-Aid for Scientific Research, Japan
Society for the Promotion of Science, the principle investigator is
Prof. Fuhito Kojima (University of Tokyo), and main co-investigators
are Prof. Makoto Yokoo (Kyushu University) and Prof. Hisashi Kashima (Kyoto
University). This project will develop mechanisms to allocate
precious resources appropriately based on technologies from micro
economics and computer science, and implement these mechanisms in real
application domains, such as Japanese daycare (nursery school)
allocation. Specific research topics include automated mechanism design,
mechanism design for two-sided matching and auctions, etc.
The ideal candidate will have a PhD in a relevant discipline and
established track record evident by publication in top quality
conferences and/or journals. Expertise in one or more of the following
areas is a must: game theory and economic paradigms, market/mechanism
design, computational social choice, human-aware AI, machine learning
applications, heuristic search and optimization, and multiagent
systems. Gross salary per year (including taxes, insurances, and
other things) will be around US$40,000. The start date will November
1, 2021 (Negotiable) and the end date is March 31, 2022, which can be
extended based on mutual agreement.
SUBMISSION DUE DATE: August 31, 2021.
Please contact recruit@agent.inf.kyushu-u.ac.jp for more detailed
submission instruction.
Link:
https://www.mdc.e.u-tokyo.ac.jp/en/2021/08/04/post-doctoral-position/
Machine Learning and Causal Inference, Data Scientist
Sony Group Corporation
Sony is trying to have direct touch point with more than 1 billion users through DTC (Direct To Customer) services. We, data analytics and machine learning team, is responsible for research and development of technologies to acquire customers, increase fan engagement, utilize user behavior data for such services. Causal inference technologies will play an important role for both of end users and service providers in DTC services, from entertainment to healthcare, for personalized user experience, marketing optimization, and so on.
In this job posting, we are looking for researchers who have high expertise in machine learning, especially causal inference, econometrics or related fields, and can develop and evaluate such algorithms using real data from commercial systems.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Machine Learning Research Engineer
Sony Group Corporation
To support the spread of AI/ML, we are developing AI technologies for users who are not experts in AI/ML. In particular, we are developing technologies such as AutoML, XAI, feature generation and model monitoring, in the field of predictive analysis. In addition, the predictive analysis tool we developed, called Prediction One, has a tens of thousands of users in Japan. So we can develop unique technologies based on issues from the users. In order to keep the technology moving forward, we need research engineers who are multi-talented, show leadership and actively address new issues. When you join the company, you will become a member of a team of several research engineers in this field.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Robotics, Engineer / Researcher
Sony Group Corporation
Our group conducts fundamental research and development on various types of robots, such as mobile, manipulator and medical robots, to realize intelligent and dexterous robots in a complex dynamic unknown environment. Research topics are broad in robotics and include not only theories and algorithms but also development of robot hardware and software through a collaboration of engineers with various background (mechanical engineering, electrical engineering, software, control and machine learning). In this job posting, we are looking for researchers who have high expertise in both robotics and machine learning and can develop a novel algorithm combining them for better efficiency, performance, safety and intelligence. We assume a leading position who can lead this advanced robotics research.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
AI Application Engineer
Sony Group Corporation
We are developing advanced application technologies and intelligent information processing technologies to contribute to the variety of business domains of Sony Group Corporation, such as Agent Platform, Next-Gen Financial Front-end, Contents Creation Technology, Healthcare/Medical Service and Telepresence.
The main work is research and development of advanced algorithms using software. It includes tasks such as artificial intelligence, deep learning, natural language processing, UI design and mobile, cloud service implementation, 3D graphics, technical evaluation and analysis, and architecture design.
As an R&D engineer, you will work on a specific project to develop integration technologies to enhance customer value, aiming to contribute to the variety of business of Sony Group Corporation.
We are looking for R&D engineers who have keen interest and ability to apply deep learning technologies to real world problems.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Internship_Deep Learning, Researcher/Research Engineer/Software Engineer
Sony Group Corporation
Our Deep Learning team in Sony R&D is building a software platform that accelerates and enhances the development of deep learning models dedicated for Sony's businesses such as entertainment businesses, including games, music, motion pictures, animation and other content intellectual property (IP); and electronics businesses including image sensors, digital imaging, audio & visual, mobile, and robots.
Our mission to make our platform unique and strong is 1) to develop novel fundamental techniques and reusable components of deep learning, and submit papers to top AI conferences to contribute the community and get feedback; 2) to explore new applications of emerging techniques in the deep learning community and to bridge the gap between research and production while closely communicating with business units, for examples, Sony Pictures Entertainment, Sony Interactive Entertainment, and Sony Electronics; 3) to develop core libraries and GUI tools, including Neural Network Libraries (https://nnabla.org/) which is our own high performance deep learning framework which has broken the world record of a distributed training benchmark on ImageNet classification task and is provided as an open-source, and Neural Network Console (https://dl.sony.com/), a unique and professional-grade GUI for deep learning development.
Our team is located in Tokyo, Japan, but closely collaborating with diverse and talented teams in Germany, China, India and the United States.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Internship_Research Engineer, Audio Signal Processing
Sony Group Corporation
Sony has created life-changing values to fill the world with emotion through the power of creativity and technology.
At Sony R&D Center we've contributed to Sony's various products and services to create Kando and social value with our technological power and expertise.
Our audio research group in R&D Center focuses on development of cutting-edge audio signal processing technology to create next-generation products and services.
Our research engineers work with those from diverse professions and work on exciting range of projects including: developing real-time signal processing technology integrated with ultra-low latency hardware, prototyping loudspeaker array system to create immersive spatial sound fields, and investigating machine learning applications to audio-related complex problems.
We're looking for a research engineers who are interested in sound, audio, and music, and have strong passion and will to contribute to Sony's activities.
As a research engineer, you will work on one of the most critical projects in our group with certain contribution to our future research program and business.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Internship_ Robotics, Engineer / Researcher
Sony Group Corporation
Our group conducts fundamental research and development on various types of robots, such as mobile, manipulator and medical robots, to realize intelligent and dexterous robots in a complex dynamic unknown environment. Research topics are broad in robotics and include not only theories and algorithms but also development of robot hardware and software through a collaboration of engineers with various background (mechanical engineering, electrical engineering, software, control and machine learning). In this job posting, we are looking for researchers who have high expertise in both robotics and machine learning and can develop a novel algorithm combining them for better efficiency, performance, safety and intelligence.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
Internship_ AI Application Engineer
Sony Group Corporation
We are developing advanced application technologies and intelligent information processing technologies to contribute to the variety of business domains of Sony Group Corporation, such as Agent Platform, Next-Gen Financial Front-end, Contents Creation Technology, Healthcare/Medical Service and Telepresence.
The main work is research and development of advanced algorithms using software. It includes tasks such as artificial intelligence, deep learning, natural language processing, UI design and mobile, cloud service implementation, 3D graphics, technical evaluation and analysis, and architecture design.
As an R&D engineer, you will work on a specific project to develop integration technologies to enhance customer value, aiming to contribute to the variety of business of Sony Group Corporation.
We are looking for R&D engineers who have keen interest and ability to apply deep learning technologies to real world problems.
Link:
https://www.sony.com/en/SonyInfo/Careers/jobinfo/AI_Robotics_Career_Opportunities/
PhD Position in ML/DL in UAE University
United Arab Emirate University
Job Description: Applications are invited for the post of Research Assistant (PhD student) to join the research project titled “Development of machine learning and deep learning algorithms for imbalanced and one-class classification problems” in collaboration with University of Toronto, Canada.
The successful applicant will be a full-time PhD student enrolled in the University’s PhD program and will participate in teaching, research, and/or administrative activities. The position will start from Jan 2022.
This successful applicant will develop novel machine algorithm and deep learning algorithms for imbalanced and one-class classification problems. These algorithms will be tested on datasets from various domains including health. This will provide the basis for a doctoral dissertation.
Minimum Qualification: Master’s degree in related area (Computer Science/Computer Engineering/Information Technology or related area)
Applicant should satisfy the PhD admission requirements, available at the UAE university website - http://www.uaeu.ac.ae/en/cgs/graduateadmission.shtml
Expected Skills/ /Experience
I. Demonstrated knowledge and expertise in machine learning and deep learning.
II. Good publication record in reputed international journals/conference.
III. Possess excellent communication skills.
IV. Expert in relevant programming languages, including python and other deep learning libraries, such as Pytorch/Tensorflow.
Reporting: Dr. Amir Ahmad (amirahmad@uaeu.ac.ae, primary supervisor), Dr. Shehroz Khan (shehroz.khan@utoronto.ca, co-supervisor)
Job start Date: Jan 2022
Tenure: Four year
Salary and benefits:
i. The value of fellowship will be AED 100,000 (~USD 27,224) per year including medical insurance.
ii. Full fee waiver
iii. A PhD student may work as a RA for other research projects for which he/she can get up to a maximum of AED 2000 (~USD 550) per month.
To apply: Contact Dr Amir Ahmad
Link:
https://cit.uaeu.ac.ae/en/departments/iss/profile.shtml?email=amirahmad@uaeu.ac.ae
PostDoc in ML/explanations and combinatorial optimisation
KU Leuven
The positions are part of Tias Guns' 5-year ERC Consolidator grant "Conversational Human-Aware Technology for Optimisation", which aims to build next-generation constrained optimisation techniques that learn from the user and the environment, and that allow for explainable, interactive solving.
Reach out if you want to know more. Location is KU Leuven, Belgium (ranked 45th amongst worldwide universities) in the DTAI lab, one of the bigger AI labs of continental europe.
More details: https://www.kuleuven.be/personeel/jobsite/jobs/60039993?hl=en&lang=en
Link:
https://www.kuleuven.be/personeel/jobsite/jobs/60039993?hl=en&lang=en
Senior/Principal Data Scientist
Fidelity Investments
This is part of Serdar Kadioglu’s Optimization & Personalization group in the AI Center of Excellence at Fidelity Investments.
We work on algorithmic problems at the intersection of Discrete Optimization and Machine Learning. Our recent research areas include, but not limited to, Recommender Systems, Constraint Technology, Contextual Bandits, NLP/Content Generation, Predictive Modeling/DL, AI Fairness, and Pattern Mining.
We focus on applications in digital channels for millions of users over the web, email, and mobile, and distribution channels for thousands of representatives over the regional centers and branches.
This is a unique position with research opportunity at industry-scale with business critical applications to improve financial health for the society.
The ideal candidate will have a strong background in machine learning and optimization. An PhD degree in relevant technical fields such CS, OR and publications in international venues will be an advantage.
Please contact (serdar.kadioglu@fmr.com) for more details and inquiries.
Serdar
Link:
https://skadio.github.io
ERC Advanced Grant - WhiteMech - Giuseppe De Giacomo - PostDoc/PhD Positions
Sapienza Univ. Rome
WhiteMech aims at developing the science and the tools for mechanisms that are able to program themselves, automatically tailor their behavior so as to achieve desired goals, maintain themselves within safe boundaries in a changing environment, and follow regulations and conventions that evolve over time. Crucially, empowering mechanisms with self-programming carries significant risks and therefore we must be able to balance power with safety. For this reason WhiteMech intends to realize mechanisms that are white-box, that is, whose behavior is at any moment fully analyzable and comprehensible in human terms, and guarded by human oversight. Driving Applications. WhiteMech wants to ground its scientific results upon three driving applications: smart manufacturing (Industry 4.0), smart spaces (IoT) and business process management systems (BPM). Positions available as Senior Postdoc, Junior Postdocs and PhD students. Candidates must have strong mathematical and computational skills. Specific topics of interest include but are not limited to: Knowledge Representation Planning Autonomous Agents Reinforcement Learning Logics in AI Temporal Logics Automata Synthesis Logics and Games Monitoring and Verification Data-aware processes Service Composition and Business Process Management Interest in applications in Smart Spaces (IoT) and Smart Manufacturing All the research activities will be carried out at the University of Rome "La Sapienza" (the largest university in Rome). Salaries vary depending on experience and are commensurate to international standards. Moreover generous funds for traveling and visiting scholars are available for the entire project team. Perspective candidates are invited to write an expression of interest, including a CV and the name of two references to degiacomo@diag.uniroma1.it.
Link:
https://whitemech.github.io
