Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning
UT Austin
Applications are invited for a postdoctoral fellow of one year, possibly
renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone.
Primary responsibilities include performing cutting-edge research in
collaboration with faculty, Ph.D. students, and other researchers.
The research will focus on developing and testing novel algorithms for
in connection with a range of projects related to robotics and
multiagent reinforcement learning. Motivating use cases include
long-term autonomous service robots and adaptive autonomous driving and traffic management.
Link:
http://www.cs.utexas.edu/~pstone
Post-doctoral Position in Bio-inspired Artificial General Intelligence
Kyushu University
Position for 1 year (possibly renewable) Postdoc in a research area that spans many areas such as Deep Neural Networks, Evolutionary Computation, Neuroscience and Complex Systems. As a postdoc, the candidate should join one of the teams in the Laboratory of Intelligent Systems, towards creating novel AI engines as well as building robust and adaptive intelligent systems.
Background: Current AIs can solve 19x19 versions of Go but behave poorly on easier 9x9 versions of the same game. Similarly, image recognition algorithms can reach 96% accuracy (supra-human) on tests but are fooled by only a single pixel change. In other words, current AI lacks the robustness and adaptation present in even simple living beings. AI is based on engines that allows it to learn and reason over things, this lab builds novel engines based on different paradigms to reach high levels of robustness and adaptiveness intrinsically. Interestingly, by increasing the robustness and adaptiveness, other problems like Transfer Learning, One-Shot Learning would also be solved at the same time, igniting, possibly, a new age of intelligent systems.
Link:
http://lis.inf.kyushu-u.ac.jp/postdoc_position.php
Postdoctoral Position in Robotics
King’s College London
An exciting Postdoctoral Research Associate position is available at the Department of Engineering, King’s College London to develop novel algorithms for learning the principles of human-human interaction autonomously from video data and integrating such models into the perception and control of humanoid robots. The main objective of the project is to set the basis for the next generation of robots that will be able to learn how to act in concert with humans by watching human-human interactions. The desired start date of the post is on the 1 March 2021, or soon after. Funding for this post is available for two years. To apply, please see https://jobs.kcl.ac.uk/gb/en/job/011984/Research-Associate-in-the-Department-of-Engineering. Application closing date is Friday 15th January 2021.
The candidate will join the Centre for Robotics Research (CORE), an excellent environment with state-of-the-art labs. CORE brings together specialised expertise in sensing, manipulation, machine learning, and intelligent control to develop world-leading solutions to society’s most critical challenges. Please see https://www.kcl.ac.uk/research/core.
The candidate will contribute to ongoing research activities at the Social AI & Robotics laboratory (https://sairlab.github.io) in the areas of computer vision, machine learning and human-robot interaction and will be closely working with Dr Oya Celiktutan and her team, as well as her academic collaborators in the fields of natural language processing, education and psychology and project partner SoftBank Robotics Europe.
The candidate should possess a PhD, or be near completion, in Engineering, Computer Science, or related field. They should have a strong research record in machine learning, with specialisation in one or more of the following areas: human-robot interaction, computer vision, deep learning, self-supervised/unsupervised learning, reinforcement learning, and/or (multimodal) human behaviour analysis and synthesis
Link:
None
Junior professor in Reinforcement Learning @ KU Leuven
KU Leuven
Open faculty position, see link for details.
Link:
http://www.kuleuven.be/personeel/jobsite/jobs/55711607?hl=en&lang=en
PhD - Systems for ML and AI
KAUST
Multiple fully funded PhD positions in the area of Systems for Machine Learning and AI. Generous research funding; state of the art Supercomputer and GPU clusters.
Link:
https://www.KAUST.edu.sa
PostDoc - Large scale Deep Learning
KAUST
Multiple PostDoc positions available in the broad area of Large scale Deep Learning. Generous research funding; state of the art Supercomputer and GPU clusters. Competitive salary and benefits.
Link:
https://www.kaust.edu.sa
Assistant, Associate and Full Professor
KAUST
Multiple positions available at all levels, in the broad areas of Computer Systems, Machine Learning & AI, Cybersecurity. Generous research funding and state of the art research equipment. Globally competitive salary and benefits.
Link:
https://www.kaust.edu.sa
Tenure-track assistant professorship in complexity theory (deadline Jan 17)
University of Copenhagen
The CS department at the University of Copenhagen invites applications for a tenure-track assistant professorship in computational complexity theory. The application deadline is January 17, 2021. See https://employment.ku.dk/faculty/?show=152981 for the full announcement with more information and instructions for how to apply. Informal enquiries are welcome and may be sent to jn@di.ku.dk.
Link:
https://employment.ku.dk/faculty/?show=152981
Postdoctoral position in combinatorial optimization (deadline Jan 24)
University of Copenhagen
The CS department at the University of Copenhagen invites applications for a postdoc position in combinatorial optimization. The application deadline is January 24, 2021. See https://employment.ku.dk/faculty/?show=153126 for the full announcement with more information and instructions for how to apply. Informal enquiries are welcome and may be sent to Jakob Nordström (jn@di.ku.dk).
Link:
https://employment.ku.dk/faculty/?show=153126
Postdoctoral position in theoretical computer science (deadline Jan 24)
University of Copenhagen
The CS department at the University of Copenhagen invites applications for postdoc positions in TCS. The application deadline is January 24, 2021. See https://employment.ku.dk/faculty/?show=153103 for the full announcement with more information and instructions for how to apply. Informal enquiries are welcome and may be sent to Jakob Nordström (jn@di.ku.dk), Rasmus Pagh (pagh@di.ku.dk), Mikkel Thorup (mthorup@di.ku.dk) or Christian Wulff-Nilsen (koolooz@di.ku.dk).
Link:
https://employment.ku.dk/faculty/?show=153103
Research/Senior Research Fellow
Nanyang Technological University
We are looking to recruit up to two postdoctoral fellows for 1-2 years appointment in a Safe RL project with an outlook to automotive applications. Although relevant experience in Safe RL and its real-world failures is preferred, it is the ability to think outside of the box and plucky attitude to research that are key for these appointments.
Official advert will appear soon. In the meantime, for further enquires, please contact Zinovi Rabinovich by email zinovi@ntu.edu.sg
multiple PhD positions in trustworthy AI
UNSW Sydney
Funded PhD positions at UNSW to explore trustworthy AI. Consistently ranked by CSRankings in top 10 in world. Sydney is also a great place to live, on the beach even!
Link:
None
PostDoc in hybrid constraint optimisation and machine learning
KU Leuven, DTAI group
PostDoc with experience in either constraint solving (CP/SAT/ASP/MIP) or machine learning (decision-focussed learning, neuro-symbolic learning, structured output prediction) and preferably both.
The position is for multiple-years and at the AI lab of KU Leuven, computer science department.
The PostDoc will work with Prof. Tias Guns and his interdisciplinary team on the ERC project 'Converstational Human-aware Technology for Optimisation'. The key goal is to make constraint solvers more intelligent by learning from the environment and the user, as well as providing explanations about the solutions found.
For more information, contact me by email. Starting date is flexible. There are 2 positions available.
Link:
https://people.cs.kuleuven.be/~tias.guns
Professor Position Artificial Intelligence for Industry (KU Leuven, Belgium)
KU Leuven
KU Leuven has a fixed-term (5 year) part-time (95%) academic vacancy in the area of Artificial Intelligence at its campus in Bruges, Belgium.
We are looking for internationally oriented candidates with
an excellent research record, preferably focused on deploying AI in Business and Industrial Environments, and with demonstrable didactical skills. The expected start date is October 1, 2021.
The successful applicant will be appointed in the Faculty of Engineering Technology. This Faculty is part of the Science, Engineering and Technology Group of KU Leuven. The position is interdepartmental, with a joint appointment in both the Department of Computer Science and
the Department of Electrical Engineering (ESAT). The successful applicant will engage in collaborations with experts in data analysis and AI and academic users of AI technology in the broader region. Overall, he/she will be an active member of the KU Leuven Institute for
Artificial Intelligence (Leuven.ai). This interdisciplinary institute combines the AI expertise of 60+ professors, 100s of researchers and 500 master students. As one of the 10 most innovative universities in the world, KU Leuven has been very successful in the creation of spin-off companies, illustrating the socio-economic relevance of its research. Many of these spin-off companies are technology leaders within their domain, and their products and services are renowned internationally.
Link:
https://www.kuleuven.be/personeel/jobsite/jobs/56002799?hl=en&lang=en
