Ph.D. in AI/Machine Learning (Sweden) Deadline: June 30, 2019

Chalmers University of Technology/ University of Gothenburg

Application Deadline

June 30, 2019

Program Commencement

September 01, 2019

Duration of the Program

5 Years

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Program Details

The Department of Computer Science and Engineering is a joint department at the 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 Ph.D. students from more than 30 countries. The research has a wide span, from theoretical foundations to applied systems development. 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 Ph.D. 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. The division offers 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 modeling, optimization, and related areas.

The overall project goals are to carry out basic research in Deep Reinforcement Learning (DRL), Bayesian optimization and 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 an 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.

The Ph.D. Student will be enrolled in a graduate program in the Department of Computer Science and Engineering at the Chalmers University of Technology. The student is expected to develop 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.

Eligibility/ Requirements

To qualify as a Ph.D. student, you must have a solid background in Computer Science/Engineering, 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 continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application Process

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 employment 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).

For questions, please contact: Devdatt Dubhashi, Data Science & AI, E-mail: dubhashi@chalmers.sePhone: +46(0) 772 1046

See more information about the department here. Detailed call here.

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