Postdoctoral Position in Computer Science

Polytechnicpositions; Stockholms kommun; On-site; SEK 30 000 - 42 000; Full time

Job summary

A leading international technical university is seeking a Postdoctoral Researcher in Computer Science to work on an innovative project aimed at democratizing AI. The successful candidate will engage in cutting-edge research involving the design and evaluation of distributed systems for machine learning. A Master's degree and independent research ability are required. The role offers a dynamic work environment and a competitive salary according to the doctoral student salary agreement.

Benefits

Dynamic international research environment

Employee benefits

Professional growth opportunities

Qualifications

• Ability to independently pursue research.
• Collaborative skills and professional approach.
• Analytical ability to work with complex issues.

Responsibilities

• Design, implementation, and evaluation of distributed systems for machine learning inference.
• Apply machine learning concepts to devise agentic frameworks.

Skills

Independent research

Collaborative skills

Analytical ability

Background in Computer Science, Engineering, Data Science, or Machine Learning

Knowledge of systems and networking

Education

Completed a second-cycle degree (e.g., Master’s)

Completed at least 240 higher education credits

English proficiency equivalent to English B/6

Job description

Postdoctoral Position in Computer Science

Royal Institute of Technology

Sweden

Project Description

Third-cycle subject: Computer Science

This doctoral position is part of an ambitious 5-year Wallenberg Scholar project titled "Scalable and adaptive inferencing for democratizing AI". With a project budget of 18 million SEK, the goal is to dramatically reduce the cost and power required for serving large language models such as ChatGPT. Early publications and project details are available at: https://www.kth.se/blogs/dai/

The work will primarily involve:

Design, implementation, and evaluation of distributed systems and networks for machine learning inference

Applying machine learning concepts to devise agentic frameworks

Supervision: Professor Dejan Kostic and Associate Professor Marco Chiesa. Final admission decisions will determine supervision.

What We Offer

Study in a dynamic, international research environment collaborating with industry and universities worldwide.

Employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.

Admission Requirements

Applicants must meet basic eligibility under Chapter 7, 39 § of the Swedish Higher Education Ordinance:

• Completed a second-cycle degree (e.g., Master’s).
• Completed at least 240 higher education credits, including 60 second-cycle credits.
• Acquired equivalent knowledge, within or outside Sweden.

Additionally, English proficiency equivalent to English B/6 is required.

Selection Criteria

Successful candidates should demonstrate:

• Ability to independently pursue research.
• Collaborative skills and professional approach.
• Analytical ability to work with complex issues.
• Preferred background: Computer Science, Engineering, Data Science, or Machine Learning. Knowledge of systems and networking is highly desirable.
• Personal qualities: Scientific curiosity, goal-orientation, perseverance, and strong problem-solving abilities.

Target Degree

Information Regarding Admission and Employment

Only admitted postgraduate students may be employed as doctoral students.

Employment duration corresponds to full-time doctoral education for four years.

Employed doctoral students may perform tasks within their role (maximum 20%) such as teaching or administrative duties.

Employment contracts are renewed yearly or for a maximum of two years at a time, depending on program and licentiate studies.

Union Representatives

Information on union representatives and doctoral section contact details are available upon request.

Application Instructions

Submit your application via KTH’s recruitment system, including:

• CV – highlighting relevant professional experience and knowledge.
• Application letter – brief description of research interests, motivations, and relation to past studies (max 2 pages).
• Diplomas and grades – from previous university studies and proof of language requirements; certified translations if documents are not in English or Swedish.
• Representative publications or technical reports – provide summaries and web links for longer documents.

Deadline: Applications must be received by 15 January 2026, by midnight CET/CEST.

Note: The position may require security clearance under the Protective Security Act (2018:585). Employment is conditional on successful clearance.

We firmly decline all contact from recruitment agencies or marketing personnel.

Join KTH

KTH is a leading international technical university, fostering creativity, research, and innovation to advance sustainable society. Employees benefit from good working conditions, equality, diversity, and professional growth opportunities.

Salary: Monthly salary per KTH’s doctoral student salary agreement.

Number of positions: 1

Location: Stockholm, Sweden
Reference number: PA-2025-3467
Published: 06 Nov 2025
Last application date: 15 Jan 2026

In your application, please refer to Polytechnicpositions.com