Summary
The School of Electrical Engineering and Computer Science at KTH invites applications for a doctoral student position within an ambitious Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI.” The project aims to reduce the cost and power needed for serving large language models, such as ChatGPT. This is an exciting opportunity to engage in cutting-edge research in distributed systems and networks for machine learning inference.
Doctoral Student in Large Language Model Inferencing, Stockholm, Sweden
Designation
Doctoral Student
Research Area
- Machine Learning
- Distributed Systems
- Networking
- AI Development
Location
Stockholm, Sweden
Eligibility/Qualification
| Requirement | Description |
|---|---|
| Basic Eligibility | One of the following: Master’s degree240 higher education credits including 60 second-cycle creditsEquivalent knowledge acquired through other means |
| Language Proficiency | English equivalent to English B/6 |
Job Description
The doctoral student’s responsibilities include:
- Designing, implementing, and evaluating distributed systems and networks for machine learning inference.
- Applying machine learning concepts to develop agentic frameworks.
- Collaborating with supervisors and peers to tackle complex research problems.
How to Apply
Interested applicants must submit their application through KTH’s recruitment system, including:
- Copies of diplomas and grades from previous studies.
- CV highlighting relevant professional experience.
- Application letter (maximum 2 pages) explaining motivations and academic interests.
- Representative publications or technical reports with summaries and links.
Last Date to Apply
April 30, 2026
This is an excellent opportunity to join a leading international technical university that prioritizes education, research, and innovation while promoting sustainability and equality.
