Fetch.ai Fetch.AI is a world-changing project, a “decentralised digital world” where autonomous software agents act on behalf of their owners to get useful economic work done.
We ar... e a dynamic, fast-growing, international team of experts and forward-thinking technology enthusiasts (see https://fetch.ai/about/#team) working on the convergence of blockchain, AI and multi-agent systems. We are building technology for both today and tomorrow - a collective super-intelligence on top of decentralized economic internet built with a highly scalable next-generation distributed ledger technology. Combined with machine learning, this delivers the predictions and infrastructure to power the future economy.
Do you like challenges and want to work on cutting edge state-of-the-art technology that will define how we will interact? Then take a look at https://careers.fetch.ai/jobs/
We currently have MAS specific vacancies.
You can find me around in the conference if you want to come and have a little chat. Also make sure to check out our demo in Wednesday’s demo session.
Link:https://careers.fetch.ai/jobs/See More >>
Fetch Robotics Fetch Robotics is a leading provider of Autonomous Mobile Robots (AMR's) that is revolutionizing the logistics industry. We are a young start-up growing at a rapid pace and we're ... looking for talented and enthusiastic engineers who are comfortable with a large degree of ownership and who can code quickly without incurring technical debt.
As a Senior Robotics Coordination Engineer at Fetch, you'll be developing a multi-agent system and optimization techniques with the Fetch Cloud Robotics Platform. We have current openings in our Multi-Robot Coordination Team for senior level engineers and leaders. You'll need to readily make decisions relating to algorithm development, framework design, implementation, and practical utility.
Lecturer in Machine Learning/Artificial Intelligence
King’s College London As part of its strategic development, the Department of Informatics is seeking applications from candidates for the position of Lecturer in Machine Learning/Artificial Intelligenc... e, starting in Autumn 2019, or as soon as possible thereafter.
The successful applicant for this post will undertake research and teaching in the areas of machine learning and artificial intelligence. They will be assigned to teach on the Department’s MSc in Artificial Intelligence, may also be required to teach on other postgraduate or undergraduate degree programmes offered by the Department of Informatics, and will be expected to supervise both undergraduate and postgraduate projects.
Accordingly, the successful applicant will need knowledge and awareness of current research and practical challenges in Machine Learning and/or Artificial Intelligence. The Department seeks to broaden and deepen its current strengths in these areas, so candidates engaged in research and teaching which complements that of the existing members of the Department will be considered favourably. Topics of interest in the area of Machine Learning/Artificial Intelligence include, but are not limited to, deep learning, Bayesian reasoning and statistical methods, explainable and trusted AI, AI accountability, reasoning for knowledge graphs, decision making in the presence of uncertainty, algorithmic bias, autonomous systems, and Machine Learning for Vision or Natural Language Processing.
The successful candidate will be given the opportunity to join the Distributed Artificial Intelligence (DAI) group or Reasoning and Planning (RAP) group, will be expected to contribute to the Trusted Autonomous Systems Hub, will have the opportunity to strengthen the activity of the departmental Machine Learning theme (see https://www.kcl.ac.uk/nms/depts/informatics/research/machine-learning/machine-learning.aspx)
Lancaster University Exciting postdoctoral opportunity to do fundamental theoretical, systems, and software engineering research on decentralized MAS. see link for more info on the position.
Amazon Alexa Are you interested in joining the Alexa research group? We are continuously looking for great talent. I'll be at the conference tomorrow and Thursday. Come say hi and let me kn... ow if you are interested.
See More >>
Tenure-track positions (assistant/associate prof level) for female researchers
DeepMind Be at the forefront of cutting edge of AI research as a Research Scientist at DeepMind. Drawing on expertise from a variety of areas including deep learning, reinforcement learnin... g, vision, language, neuroscience, safety, control, robotics, multi-agent and machine learning, our diverse team takes a unique approach to building powerful general-purpose learning algorithms.
We are proud to be home to renowned experts, PhDs, post-docs and professors who hail from far and wide, including many of the world’s leading academic and industrial labs.
We are looking for talented individuals to join our world class team, contribute to our groundbreaking research and bring us closer to our ultimate goal of solving intelligence.
Postdoctoral Fellowship: Deep Reinforcement Learning and Knowledge Transfer for Robot Dexterous In-Hand Manipulation
Aston University Applications are invited for a Postdoctoral Fellowship at the School of Engineering and Applied Science to be undertaken within the Computer Science Research Group at Aston Univer... sity, Birmingham, UK. The successful applicant will join an established experimental group working on artificial perception and machine learning towards robot dexterous manipulation. This position is available to start as soon as possible.
The postdoctoral fellow will work within the EU CHIST-ERA InDex project (Robot In-hand Dexterous manipulation by extracting data from human manipulation of objects to improve robotic autonomy and dexterity). It is expected the fellow will collaborate with our partners (Sorbonne University, Technische Universität Wien, University of Genoa, and University of Tartu) during the course of the project.
This post is initially one-year contract, with the possibility of renewing it until the duration of the project (3 years).
Background of the Project
It is expected that the postdoctoral fellow will design and develop an approach based on deep reinforcement and transfer learning to endow a robot to autonomously learn and adapt its strategy to interact with objects during in-hand manipulation tasks, and also being able to transfer this knowledge to other contexts. Beyond of learning from human demonstrations, learning from a synthetic environment (simulations) can be an alternative, where transfer learning will play an important role to use the knowledge acquired from that environment to be applied to a real-world context.
Link:https://jobs.aston.ac.uk/Vacancy.aspx?ref=R190097See More >>
PhD positions
Aston University Two fully funded positions, in collaboration with the Industry, covering fees and living costs for EU students. Topics: - Coached knowledge Transfer for Deep Reinforcement lea... rning - Personalised Digital Health: Deep Multi-agent Learning for assisted independent living
U.S. Naval Research Laboratory Theoretic Decision-Making for AUV Teams
The U.S. Naval Research Laboratory is interested in investigating the development of simulation frameworks for autonomous underwater... vehicles (AUVs) using game theoretic approaches for decision-making. The goals of the simulation frameworks are twofold. First, we seek to validate and quantify the effectiveness of theory extensions made in game-theoretic based algorithms adapted for underwater use and resource allocation. Second, the simulations will compute playbooks of best responses for AUVs to reference for autonomous decisions based on simulation results of naval scenarios. Extensions examined will include effectiveness of graceful and autonomous switching from one set of strategies to other sets under differing deployment events, or due to newly sensed information. Research will also include designing playbooks for multi-agent teams that are quickly searchable and selectable by autonomous systems for effective autonomous team decision-making.
References:
1. Fang, F., Nguyen, T.H., Pickles, R., Lam, W.Y., Clements, G.R., An, B., Singh, A., Schwedock, B.C., Tambe, M., and Lemieux, A. (2017), Paws—a Deployed Game-Theoretic Application to Combat Poaching, in AI Magazine, edited, pp. 23-36, doi:10.1609/aimag.v38i1.2710.
