Postdoctoral Position in Computer Science (Royal Institute of Technology)

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), or Completed at least 240 higher education credits, including 60 second-cycle credits, or 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 Doctoral 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. Learn more about working at KTH Type of Employment Temporary position Full-time (100% FTE) Starting date: According to agreement 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 Contact Dejan Kostic: dmk@kth.se Marco Chiesa: mchiesa@kth.se Felicia Gustafsson, HR: rekrytering@eecs.kth.se If you apply for this position please say you saw it on Academicoxy

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), or
Completed at least 240 higher education credits, including 60 second-cycle credits, or
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

Doctoral 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.

Learn more about working at KTH