PhD Position in machine learning - reinforcement learning

This is an exciting PhD project focused on both theoretical foundations and applications of machine learning, in particular reinforcement learning and active learning. The research group performs high-standard research in machine learning and targets high-quality scientific publications. The position provides very interesting scientific networking and internationalizing opportunities. The competitive full fund is guaranteed for the entire PhD (i.e., five years).

About the research
This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering, Chalmers University of Technology.
This position is centered around the fundamental principles of machine learning, with a specific emphasis on reinforcement learning and active learning. Machine learning encompasses a range of data-driven techniques that derive models for tasks such as prediction, exploratory data analysis, and explanation. The primary focus of this position is on active learning, employing advanced reinforcement learning methods within a multi-agent (federated) framework. Reinforcement learning examines the interactions between an agent and its environment, aiming to maximize cumulative rewards. Within this project, we will tackle various active learning problems by formulating them as reinforcement learning tasks, with an emphasis on sample efficiency. Particularly, we will explore the realm of federated deep reinforcement learning, facilitating collaborative learning across different computing nodes and locations.

Major responsibilities
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Qualifications
To qualify as a PhD student, you must have a master's-level degree corresponding to at least 240 higher education credits in a relevant field at the time of start. The position requires sound verbal and written communication skills in English.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20230445 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.

Please use the button at the foot of the page to reach the application form. 

Application deadline: 2023-07-31



For questions, please contact:
Morteza Haghir Chehreghani, CSE DSAI,
morteza.chehreghani@chalmers.se

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!