PhD Student in AI/Machine Learning

Chalmers University of Technology



Information About the Department and The Project
The Department of Computer Science and Engineering is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 280 employees enrolls a number of PhD students from more than 30 countries. Our research has a wide span, from theoretical foundations to applied systems development. We provide high quality education at Bachelor's, Master's and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society. For more information about the department, see

The Data Science and AI division is a new division in the department, reflecting how this area has grown considerably over the last years, recruiting new PhD students, post-docs and faculty members. The main research areas of the division are algorithms, machine learning, AI, and different applications of data science. The division has a solid network of collaborators, both academic and industrial, within and outside of Gothenburg, the home of Chalmers. We provide many courses in these areas, and are responsible for the Data Science and AI Master’s program at Chalmers and Data Science Master’s program at GU. The division also offers courses in mathematical modelling, optimization and related areas.

The overall project goals are to carry out basic research in Deep Reinforcement Learning (DRL), Bayesian optimization abd related areas and to apply it for (a) fundamental problems in cognitive science in collaboration with the world's leading group in this area at UC Berkeley and (b) network policies for applications at base stations such as at Ericsson. In the first case, Deep RL is used to develop a efficient communication scheme and investigate its relationship to information theoretic principles. In the second case, the goal is to use Deep RL to optimize the tuning of network base stations.

Major Responsibilities
As a PhD Student, you will be enrolled in a graduate program in the Department of Computer Science and Engineering at Chalmers University of Technology. You are expected to develop your own ideas and communicate scientific results orally as well as in written form. In addition, the position will normally include 20% departmental work, mostly teaching duties. This will be a great opportunity to improve your scientific presentation skills.

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

To qualify as a PhD student, you must have a solid background in Computer Science/Engieering, Electrical Engineering, Mathematics, Physics or in a related discipline, corresponding to a master's level degree of at least 240 higher education credits. Curiosity and a genuine interest in the subject matter as well as good communication and collaborative skills are essential. In addition, excellent analytical and communication skills, both oral and written, are needed.

Chalmers offers Swedish courses.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our Offer To You
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Application Procedure
The application should be marked with Ref 20190318 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

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 and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

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

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application Deadline: 30 June, 2019

For questions, please contact:
Devdatt Dubhashi, Data Science & AI
Phone: +46(0) 772 1046

In your application, please refer to