PhD position in Probability, Analysis and AI

We invite applications for a PhD position in mathematics for AI. The succesfull candidate will pursue a PhD project on topics at the intersection of probability theory, analysis and machine learning/AI, under the supervision of Associate Professor Pierre Nyquist.

Information about the division and the department
The Department of Mathematical Sciences at Chalmers University of Technology and the University of Gothenburg has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research areas. We have an international environment with frequent exchanges with other universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. There are many committed teachers with extensive and broad experience of all aspects of higher education.

Our department continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all our activities. We work actively to be a parent-friendly organization.

Please read more about the position and our department on our dedicated webpage.

Project description
The aim of the project is to contribute to our understanding of the mathematical principles underlying modern methods for machine learning. Several directions of the project are possible and will be determined in collaboration with the PhD candidate; topics of interest include but are not limited to analysis of learning algorithms, generalisation properties of deep learning methods, non-convex optimisation, stochastic networks and learning on graphs, and interacting particle systems.

The project is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), see http://wasp-sweden.org/graduate-school/; the candidate will be a part of the WASP cluster in AI/Math.

Students with a strong background in mathematics in general, and an interest in topics related to machine learning, are encouraged to apply. There are no formal requirements about previous experience in specific areas. Candidates from historically underrepresented groups are especially encouraged to apply.

For more detailed information about the project see: Pierre Nyquist (chalmers.se) or contact Pierre Nyquist directly.

Major responsibilities
You will be enrolled in a graduate program at the Department of Mathematical Sciences. During the second half of PhD studies 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.

Qualifications
A successful candidate must have a strong background in mathematics. You must have obtained a master's degree in mathematics, applied mathematics or in a related topic, or expect to complete such a degree by September 1, 2024.

Experience in one or several of the following areas may be meritorious: probability theory, stochastic analysis, partial differential equations, machine learning. 

Good presentation and communication skills in oral and written English are required.

Please, include all relevant work such as Bachelor's or Master's thesis and articles (provide an English summary if necessary) that you have authored or co-authored.

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 reference number 20230761 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, reference 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)
1-2 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. Note that we cannot consider applications sent by email.



Application deadline: 2024-02-19



For questions, please contact:
Irina Pettersson,
irinap@chalmers.se

Pierre Nyquist,
pnyquist@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!