PhD student in Computer and Systems Sciences, with focus on AI and machine learning

PhD student in Computer and Systems Sciences, with focus on AI and machine learning at the Department of Computer and Systems Sciences. Closing date: 15 October 2022.

The Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden and one of the largest departments at Stockholm University with around 5,000 students and around 190 employees, and it is located at campus Kista. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences. The use and design of IT is put in context in relation to people, organizations, and society. DSV offers a stimulating research environment in an international setting.

Project description 

Distributed AI and machine learning in complex networks: The incredible recent success of AI and machine learning largely builds on training models from massive data-sets. This training is traditionally done by a central node with access to the entire data set. However, data is increasingly being collected and processed in complex networks, e.g., smart grids, computer clusters, or IoT networks.

The goal of this project is to develop novel algorithms and analytical frameworks for distributed AI and machine learning in such networked settings. The project will build on and adance key areas of AI and machine learning, including reinforcement learning, distributed optimzaition, deep-learning, and federaed learning. Depending on the candidate’s qualifications and scientific interests, the project can be directed towards algorithm development, applications and implementations, or underlying mathematical foundations, e.g. optimization and statistics. Applicants should have a strong background in at least one of the following (or similar): optimization, machine learning and AI, control theory, statistic and probability theory, distributed algorithms, signal processing, numerical algorithms, or operations research.

Qualification requirements

In order to meet the general entry requirements, the applicant must have completed a second-cycle degree, completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

In order to meet the specific entry requirements, the applicant must have completed courses at second-cycle level in Computer and systems sciences with a minimum of 90 higher education credits, or equivalent, including a thesis with a minimum of 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.

The qualification requirements must be met by the deadline for applications.

Selection

The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity:

Independence in the analysis and organization of the earlier work

Problem formulation and rigor in previous work and in the research plan

Previously shown ability to keep the specified time limits

Methodological and scientific maturity

Communication and cooperation skills

Subject specific knowledge relevant to education.

Admission Regulations for Doctoral Studies at Stockholm University are available at: www.su.se/rules and regulations.

Terms of employment 

Only a person who will be or has already been admitted to a third-cycle programme may be appointed to a doctoral studentship.

The term of the initial contract may not exceed one year. The employment may be extended for a maximum of two years at a time. However, the total period of employment may not exceed the equivalent of four years of full-time study.

Doctoral students should primarily devote themselves to their own education, but may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Please note that admission decisions cannot be appealed.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact

For more information, please contact associate professor Sindri Magnússon, [email protected], or the Director of PhD studies Åsa Smedberg, [email protected].

Union representatives

Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, [email protected], Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, [email protected], [email protected] (SEKO), and PhD student representative, [email protected].

Application

Apply for the PhD student position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the advertisement, and that it is submitted before the deadline.

Please include the following information with your application

Your contact details and personal data

Your highest degree

Your language skills

Contact details for 2–3 references

and, in addition, please include the following documents

Cover letter

CV – degrees and other completed courses, work experience and a list of degree projects/theses

Project proposal/Research proposal describing:

– why you are interested in the field/project described in the advertisement 

– why and how you wish to complete the project 

– what makes you suitable for the project in question

Degree certificates and grades confirming that you meet the general and specific entry requirements (no more than 6 files)

Letters of recommendation (no more than 3 files)

Degree projects/theses (no more than 6 files).

The instructions for applicants are available at: How to apply for a position.

You are welcome to apply!

Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.

Closing date: 15/10/2022

URL to this page

https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=18755&rmlang=UK