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Postdoctoral fellowship in identification of decision-making dynamics,
jointly at Brock University and the University of Alberta, Canada

Background

Adopting or rejecting new technology, following or ignoring fashion trends, and abiding by or breaking non-pharmaceutical policies are examples of populations of interacting individuals who decide between available actions over time. The evolution of the individuals' decisions results in the so-called “decision making dynamics”. Predicting and ideally controlling the long-term behavior of the dynamics is of great interest to a wide range of scientists and policy makers because of their applications in, for example, social networks, marketing, and health management. This postdoctoral research position will develop new methods to determine the identifiability of decision-making dynamics and investigate the possibility of data fitting.

Position Requirements

A PhD degree in systems and control, applied mathematics, or a related field

Background knowledge in dynamical systems, system identification, and observer design

Reasonable programming skills

Experience in working with data

Strong writing and communication skills

A track record of successful publications

Applications

The Post Doctoral Fellow will be co-supervised by Professor Pouria Ramazi at Brock University, Canada and Professor Russell Greiner at the University of Alberta. Interested candidates should send an email to (pramazi@brocku.ca) with the subject “postdoc in identification of decision-making dynamics” and attach their CV, statement of interest and contact details of two referees that may be contacted directly. The position will remain open until they are filled with contracts starting as soon as possible. Only selected candidates will be contacted. ✔️ @ApplyTime

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The University of Florence offers 4 regular plus one industrial PhD positions in Smart Computing.

The PhD program in Smart Computing is a three-year multidisciplinary program co-financed by the University of Florence, the University of Pisa, and the University of Siena, with an internationally renowned faculty and a worldwide network of partner institutions.

The PhD positions call is available at: https://www.unifi.it/p12202.html

Candidates can apply online at the following link: https://sol.unifi.it/domdott/login_en.jsp

The application deadline is July 20th, 2022, at 12am CEST for the regular positions, and August 7th, 2022, at 12am CEST for the industrial one.

Further information:
https://www.unifi.it/vp-385-dottorati-di-ricerca.html
https://smartcomputing.unifi.it/

Please, feel free to forward this email and information to colleagues and potential applicants. ✔️ @ApplyTime

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✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
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PhD position in neutrino and multi-messenger astronomy, Université catholique de Louvain, Belgium

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✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these!

✔️ @ApplyTime
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Research Assistant (fixed term), University of Nottingham, UnitedKingdom

PHD STUDENT, ON THE SUBJECT OF SECURITY, COMPUTER SYSTEMS, Centrum Wiskunde & Informatica (CWI), Netherlands

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OPEN POSITION - Ph.D. - RESEARCH ASSOCIATE (m/f/d) at the Institute of Data Science Foundations at the Hamburg University of Technology (TUHH)

For the Institute of Data Science Foundations of the Hamburg University of Technology for the earliest possible date, we are looking for a:

Ph.D. - RESEARCH ASSOCIATE (m/f/d)

Full time, for a maximum of 4 years. The remuneration is in accordance with TV-L 13.

YOUR TASKS
Fundamental research on topics related to the Institute for Data Science Foundations
Publication of research results in journals and at relevant computer science / mathematics conferences
Support of teaching activities and knowledge sharing tasks at the Institute for Data Science Foundations
YOUR PROFILE
Completed scientific university studies, in particular in the subject area/s mathematics, computer science, or comparable
Very good communication skills in English for publications, lectures and project meetings
Knowledge in relation to some of the following areas is an advantage:
o Data science
o Artificial intelligence
o Robotics o Machine learning (supervised learning, deep neural networks, statistical learning theory, reinforcement learning)
o Mathematical background, for instance in: probability theory, functional analysis, differential and/or algebraic geometry, information theory, information geometry
The following knowledge is an advantage:
o Experience in scientific writing
o Experience in Python programming
OUR OFFER
We offer you the opportunity for scientific qualification with the aim of a doctorate
Become a member of the Institute for Data Science Foundations, and benefit from excellent supervision and interdisciplinary exchange
Integrate into an excellent research network with national and international opportunities for collaboration
Work in a motivated and interdisciplinary team, and develop your soft skills
For further information please contact Prof. Dr. Nihat Ay, e-mail: nihat.ay@tuhh.de or his assistant Ms. Sandra Krüger, e-mail: sandra.krueger@tuhh.de.

We particularly encourage women to apply. Due to their underrepresentation, they will be given priority in cases of equal suitability, qualifications and professional performance.

Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system.

Notice for graduates of foreign educational qualifications: Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).

We look forward to receiving your online application by July 31st 2022.

Position Denoscription

Please upload your application documents here.

Kind regards

Sandra Krüger

Assistant to Prof. Dr. Nihat Ay

Institute for Data Science Foundations // E-21

Hamburg University of Technology // TUHH
Hamburg Innovation Port // HIP ONE

Blohmstraße 15
5th floor
21079 Hamburg
e-mail: sandra.krueger@tuhh.de
✔️ @ApplyTime

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Positions opening in RL and Autonomous Robotics at ISTC-CNR, Rome

Dear Colleagues,

This message is to announce that different Research Grants positions (Post-Doc and Research Fellowship, eventually to be associated with a Ph.D. program in Computer Science at Plymouth University, UK) will be opening from October 2022 (and in the next months) in the context of the European Union PILLAR-Robots project (Starting October 1st). The research will be conducted at the ISTC-CNR (https://istc.cnr.it) in Rome, Italy, under the supervision of Vieri Giuliano Santucci. ISTC is a highly interdisciplinary Institute, in which international level researchers focus on the study of Cognitive Science through approaches ranging from psychology to machine learning and robotics.
Further details about PILLAR-Robots project and its partners can be found at the end of this message.

For information, preliminary interviews (which do not replace the need to participate in the call for applications once opened) and sending CVs, please contact Vieri Giuliano Santucci by email (vieri[dot]santucci[at]istc[dot]cnr[dot]it).
Best regards,
Vieri Giuliano Santucci

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Project denoscription

PILLAR-Robots aims at developing a new generation of robots endowed with a higher level of autonomy, that are able to determine their own goals and establish their own strategies, creatively building on the experience acquired during their lifetime to fulfill the desires of their human designers/users in real-life application use-cases brought to TRL5. To this end, the project will operationalize the concept of Purpose, drawn from the cognitive sciences, to increase the autonomy and domain independence of robots during autonomous learning and, at the same time, to lead them to acquire knowledge and skills that are actually relevant for operating in target real applications. In particular, the project will develop algorithms for the acquisition of purpose by the robot, ways to bias the perceptual, motivational and decision systems of the robots’ cognitive architectures towards purposes, and strategies for learning representations, skills and models that allow the execution of purpose-related deliberative and reactive decision processes. Given the aim of reaching TRL5, PILLAR-Robots will implement and validate demonstrators of purposeful lifelong open-ended autonomy using the resulting Purposeful Intrinsically Motivated Cognitive Architecture within three different application fields characterized by different types and levels of variability: Agri-food, Edutainment, and unstructured Industrial/retail. PILLAR-Robots will perform a complete evaluation of the possibilities and impacts of purposeful lifelong open-ended autonomy in these realms from an operational perspective, but also from a market-oriented (with significant productivity gains) and societal (socio-economic, ethical and regulatory) perspective. Engagement of industry and SME players is also expected in order to prepare the ground for further large-scale demonstration.

ISTC-CNR Research within PILLAR-Robots

The research at ISTC-CNR will be particularly focused on these different topics (not to be all addressed within a single research fellowship):

- Development of motivational systems (based on Intrinsic and Extrinsic Motivations) for autonomous artificial systems

- Development of hierarchical robotic architectures for autonomous open-ended learning

- Autonomous Curriculum Learning and learning of interrelated tasks

- Autonomous learning of representations for knowledge and competence acquisition

- Theoretical analysis of the concept of Purpose and its relation with Goals.

- Analysis of the ethical, legal and economic impacts of autonomous robots

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Background of the research:
- Machine Learning
- Reinforcement Learning
- Intrinsically Motivated Open-Ended Learning
Skills:
- Programming abilities in Python or C++ (required)
- Machine Learning expertise (required)
- Robot control interfaces (welcomed)
- Good knowledge of English
_________________________________________________

PILLAR- Robots Partners and PIs:

- Universidade da Coruña, A Coruña (Spain) – Richard Duro (Coordinator)
- Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Roma (Italy) – Vieri Giuliano Santucci
- Sorbonne Universite, Paris (France) – Stéphane Doncieux
- Athina-Erevnitiko Kentro Kainotomias Stis Technnologies Tis Pliroforias, Athīna (Greece) – Petros Maragos
- AI2Life SRL, Roma (Italy) – Adriano Capirchio
- PAL Robotics SRL, Barcelona (Spain) – Francesco Ferro
✔️ @ApplyTime

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1 Postdoc at the University of Gothenburg in Digital Twins of Real Ecosystems
Claes Strannegård's group is looking for a post-doc with a strong AI background to join our research team at the University of Gothenburg.

Our goal is to build digital twins of real ecosystems. We use geographic data to build 3D models of real landscapes in the game engine Unity. Then we populate these digital landscapes with animal models, whose behavior has been trained using deep reinforcement learning and curriculum learning. Finally, we can observe how the digital ecosystems develop with or without various forms of human interventions.

Link to the ad: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=26634.

Read more about the project here: https://www.researchgate.net/publication/361925258_Ecosystem_Models_Based_on_Artificial_Intelligence.

For more info about the position, please contact claes.strannegard@gu.se.
✔️ @ApplyTime

Reachmee

Postdoctoral researcher in Cognitive Science

About the department
At the Department of Applied Information Technology, critical and interdisciplinary research is conducted

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DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA

POSITION: Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning

CONTACT: Prof. Peter Stone
The University of Texas at Austin
2317 Speedway, Stop D9500
Austin, TX 78712 USA
pstone@cs.utexas.edu
www.cs.utexas.edu/~pstone

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, robot soccer, and adaptive
autonomous driving and traffic management.

QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or
related field. Experience with machine learning and intelligent robotics
is essential. Experience in deep reinforcement learning, multiagent
systems, and/or ROS is desired.

TO APPLY: Applicants should send by email to pstone@cs.utexas.edu
- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found

This position is to start as early as September of 2022 or at any agreed
upon later date. Applications will be reviewed as they are received. ✔️ @ApplyTime

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