Postdoc: Scalable, Energy-Efficient LLM Inference

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

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.