项目介绍
We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application!
We are looking for one postdoctoral researcher in federated reinforcement learning at the Information Coding Division (ICG), which is based at the Department of Electrical Engineering (ISY). You will be part of the national research program WASP.
Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/.
Work assignments
The research will focus on the study of federated reinforcement learning (FRL) algorithms for closed loop (CL) control of dynamical systems that adhere to safety constraints while enhancing the privacy of individual agent’s local data. Furthermore, the project will aim to enhance the resilience of these algorithms against challenges such as adversarial attacks, system heterogeneity, the random dropout of participating RL agents, and uneven distribution of data across agents. The Postdoc position is funded by WASP.
As a postdoctoral researcher, you are expected to independently drive your own research within the defined broad area. As a researcher, you will also help PhD students in their research, contribute to international research projects, and teach.
As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties, up to a maximum of 20% of working hours.
Qualifications
To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.
It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.
We are looking for someone with a doctoral degree in automatic control, statistical signal processing, or another relevant field. You should have strong mathematical skills, along with experience in machine learning and programming. We also believe you have the ability to work independently and lead your own processes, including formulating and addressing technical and scientific questions. Additionally, you are highly organized and methodical in your approach to conducting research. Success in this role also requires collaboration skills and the ability to work effectively in a multidisciplinary and multicultural team/environment.
You should be able to handle complex research challenges with new perspectives and contribute to the department by inspiring your colleagues. Furthermore, you need to demonstrate a high level of reliability and consistency in your work. You should also have good oral and written communication skills in English. The ability to speak and write in Swedish may be an additional merit.
The workplace
You will work in the division of Information Coding that conducts research as well as undergraduate and postgraduate education in many areas of Information Processing Technologies, including Quantum Information and Computation, Optoeletronics, Physical Layer Security and Information Theory, Cybersecurity and Digital Forensics. Read more about the division here: https://liu.se/en/organisation/liu/isy/icg.
For more information about working at ISY, please visit: https://liu.se/en/article/open-positions-at-isy.
The employment
This employment is a temporary contract of two years with the possibility of extension up to a total maximum of three years. The employment is full-time. Starting date by agreement.
Background screening may come to be carried out before any decision on employment is made.
Salary and employment benefits
The university applies individual salaries.
More information about employee benefits is available here.
Union representatives
Information about union representatives, see Help for applicants.
Application procedure
Apply for the position by clicking the “Apply” button. Your application must be received no later than December 18, 2024.
Applications and documents received after the date above will not be considered.
Please attach your selected research publications electronically, in pdf or word format, in the application template. Research publications, e.g. monographs, which cannot be sent electronically should be sent in three sets by mail to the University Registrar at Linköping University, University Registrar, S-581 83 Linköping, Sweden. The publications must be received by Linköping University no later than the deadline for application.
Please note that printed publications will not be returned. They will be archived at Linköping University.
In the event of a discrepancy between the English translation of the job announcement and the Swedish original, the Swedish version shall take precedent.
We welcome applicants with different backgrounds, experiences and perspectives – diversity enriches our work and helps us grow. Preserving everybody’s equal value, rights and opportunities is a natural part of who we are. Read more about our work with: Equal opportunities.
We look forward to receiving your application!
Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as vendors of job advertisements.
Contact persons
Arunava Naha
Assistant Professor
Guilherme Xavier
Associate professor/Head of division
+46 13-28 13 79
Rebecka Delvert
HR Partner
URL to this page
https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=25646&rmlang=UK
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