Doctoral student in Computer Science

3 weeks ago

Örebro, Örebro, Sweden Karlstad University Full time
Doctoral student in Computer Science (Machine Learning)

The School of Science and Technology at Örebro University is looking for a doctoral student in machine learning for the doctoral program in computer science, concluding with a doctoral degree (PhD in Computer Science).
Start date: Summer / Fall 2025.

The research topic for this position is machine learning applied to one of the following focus areas of the Adaptive and Interpretable Learning Systems research group:

  • Reinforcement learning, focusing on task priorities, composability of tasks and policies, constraints, and transfer.
  • Machine learning for counterfactual prediction and treatment effect estimation with large-scale observational data and deep learning models.
  • End-to-end learning for inverse optimization, focusing on identifying underlying cost models and differentiating through black-box optimizers.
  • Deep generative modeling of bio-medical data, focusing on predicting toxicity of compounds and representation learning for transfer between in-vivo and in-silico models.
  • Spatio-temporal modeling of sensor and robotic data with probabilistic models.

Applicants need to indicate their topic preferences in the application.

The position will be funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP), which is Sweden's largest individual research program.

Supervision: The doctoral student will be supervised by J. A. Stork (principal supervisor).

The program and the doctoral studentship

The doctoral program consists of courses and an independent research project that you will present in a doctoral thesis, concluding with a doctoral degree and consisting of 240 credits.

The graduate school within WASP provides the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software.

The initial salary for a doctoral studentship is SEK 31 300 a month.

Entry requirements and selection

For admission to doctoral studies, applicants must meet both general and specific entry requirements.

Applicants meet the general entry requirements if they:

  • have been awarded a second-cycle qualification,
  • have satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle.

Applicants meet the specific entry requirements if they have:

  • awarded a Degree of Master of Science in Engineering or a one-year Master's degree from a program within the subject field, or
  • received a passing grade of at least 120 credits, including an independent project of at least 15 credits, in a relevant main field of study.

A successful applicant should:

  • be autonomous and show strong problem-solving skills,
  • be fluent in spoken and written English,
  • possess excellent programming skills,
  • have a strong background in machine learning, computer science, and mathematics.

Experience with deep learning and relevant software frameworks is another valuable merit.

Application to the program and for the doctoral studentship

The application is made online. For the application to be complete, the following electronic documents must be included:

  • Cover letter describing your research interests and how your background fits the position.
  • CV with a relevant description of your qualifications and experience.
  • Proof of meeting the entry requirements.
  • Independent project (degree project).
  • Other relevant documents verifying eligibility.

The application deadline is 2025-04-14. We look forward to receiving your application

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