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Apply Time
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@ApplyTime_Positions

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@Pay_Time
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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
👍2
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
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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✔️ @ApplyTime
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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