Postdoc in Large Language Model inferencing

Karlstad University; Stockholms kommun; On-site; SEK 279,000 - 446,400; Full time

Job summary

KTH Royal Institute of Technology is seeking a Post-Doctoral Researcher for a 5-year project focused on scalable AI inferencing. The role involves designing and deploying systems for large-scale machine learning inference. Candidates should have a doctoral degree, strong skills in C++, Python, and a solid background in distributed systems and networking. The position is based in Stockholm, Sweden, includes a full-time contract, and is fully funded for two years. Applications close on May 25, 2026.

Qualifications

• A doctoral degree or equivalent foreign degree required by employment decision.
• Solid background in distributed systems, networking, programming, and operating systems.
• Strong skills in C++, Python, Linux, and a scripting language.
• Excellent critical thinking and fluent English skills.
• Record of publications in peer-reviewed journals or top conferences.

Responsibilities

• Design, prototype, and deploy experimental systems for inference of language models.
• Collaborate with faculty and doctoral students in the research lab.
• Guide research direction and methodology.

Skills

C++

Python

Linux

Distributed systems

Networking

Operating systems

Critical thinking

Fluency in English

Education

Doctoral degree or equivalent

Job description

Job description

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities. The advertised post‑doctoral position is within a 5‑year Wallenberg Scholar project titled “Scalable and adaptive inferencing for democratizing AI”. The 18 million SEK project aims to dramatically reduce the cost and power for serving large language models such as ChatGPT.

The role focuses on the design, implementation and evaluation of distributed systems and networks for machine learning inference, and on applying machine learning concepts to devise agentic frameworks.

Responsibilities

• Design, prototype and deploy experimental systems that enable large‑scale, energy‑efficient inference of language models.
• Collaborate with faculty and doctoral students in the research lab, contributing to scientific publications and new grant applications.
• Work closely with Professor Dejan Kostic and Associate Professor Marco Chiesa to guide research direction and methodology.

Qualifications

Requirements

• A doctoral degree or equivalent foreign degree, required by the time of employment decision.
• Solid background in distributed systems, networking, programming and operating systems.
• Strong skills in C++, Python, Linux and at least one scripting language.
• Excellent critical‑thinking abilities and fluency in written and spoken English.
• Motivation to experiment and explore, with a record of publications in peer‑reviewed journals or top conferences.

Preferred qualifications

• Doctoral degree completed within the last three years.
• Experience in machine learning, GPU programming or large‑scale inference systems.
• Teaching experience and awareness of gender equality and equal‑opportunity issues.
• Strong collaborator who can also work independently.

Join us at KTH

KTH shapes the future through education, research and innovation. Our students and staff work in an environment that supports creativity, diversity and sustainable development.

Equality, diversity and equal opportunities are essential to KTH’s core values as a university and public authority.

Application procedure

Log into KTH’s recruitment system to apply. Submit the following documents:

• Curriculum Vitae
• Copies of diplomas and grades (translated into English or Swedish if necessary)
• Brief statement (≤ 2 pages) explaining research interests and future goals

Applications must be received by midnight CET/CEST on the last application day.

About the employment

Position duration is up to two years, time‑limited and fully funded for the course of the project.

Some roles may be classified as security‑sensitive. In such cases a security clearance will be required.

We decline all contact with staffing and recruitment agencies and job ad salespersons.

Contact

• Professor Dejan Kostic – [e-mail]
• Associate Professor Marco Chiesa – [e-mail]

Job details

Type of employment: Temporary position – Contract type: Full time – First day of employment: According to agreement – Salary: Monthly – Positions: 1 – Full‑time equivalent: 100 % – City: Stockholm – County: Stockholms län – Country: Sweden – Reference number: PA‑2026‑1473 – Published: 2026‑05‑06 – Last application date: 2026‑05‑25