Postdoc: Scalable AI Inference & Distributed Systems

KTH Royal Institute of Technology; Stockholms kommun; On-site; SEK 468,720 - 535,680; Full time

Benefits offered by this job

Good working conditions

Attractive benefits

Creative and dynamic environment

Job summary

KTH Royal Institute of Technology is offering a post-doctoral position in an ambitious project on scalable AI inference. This role involves designing and evaluating distributed systems for machine learning, working collaboratively with faculty and doctoral students, and contributing to publications. Required qualifications include a doctoral degree, strong skills in C++, Python, and experience in machine learning. This position emphasizes innovation and is set for a contract of up to two years.

Qualifications

• A doctoral degree or equivalent foreign degree is required.
• Solid background in distributed systems, networking, programming, and operating systems.
• Very good knowledge of English in speech and writing.
• Excellent critical thinking skills.
• Motivated candidate with international publications.

Responsibilities

• Designing, implementing, and evaluating distributed systems for machine learning inference.
• Collaborating with faculty members and doctoral students.
• Contributing to scientific publications and grant applications.

Skills

Distributed systems

Networking

Programming

Operating Systems

C++

Python

Linux

Scripting language

Machine learning

GPU programming

Education

Doctoral degree or equivalent

Job description

KTH Royal Institute of Technology is offering a post-doctoral position in an ambitious project on scalable AI inference. This role involves designing and evaluating distributed systems for machine learning, working collaboratively with faculty and doctoral students, and contributing to publications. Required qualifications include a doctoral degree, strong skills in C++, Python, and experience in machine learning. This position emphasizes innovation and is set for a contract of up to two years.