Publisher
source

KTH Royal Institute of Technology

Postdoc in Computer Vision directed towards human motion analysis KTH Royal Institute of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Sep 6, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Deep Learning
Mathematics
Image Processing
Computer Vision
Motion Analysis
Motion Capture
Human Activity Recognition
Robotics
Pose Estimation
ML

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About this position

Postdoc in Computer Vision directed towards human motion analysis at KTH Royal Institute of Technology

This postdoctoral position is based at KTH Royal Institute of Technology in Stockholm, Sweden, and focuses on computer vision for human motion analysis. The project aims to develop video-based methods for modeling human motion, with applications in 3D pose estimation, activity recognition, and synthetic motion generation.

The research includes data collection using motion capture equipment and the programming of generative machine learning models. This is a strong fit for candidates with a background in computer vision, machine learning, deep neural networks, image processing, and signal processing, especially those interested in human-centered visual computing and motion understanding.

Eligibility and requirements: Applicants must hold a doctoral degree or an equivalent foreign degree by the time the employment decision is made. The post calls for documented research expertise, demonstrated by publications in international conferences and journals in computer vision, as well as hands-on experience programming deep neural networks. Experience with computer vision, image processing or signal processing, and data collection using different motion capture systems is also required. Preferred qualifications include a PhD obtained within the last three years, teaching ability, awareness of diversity and equal opportunity issues, collaborative skills, and independence.

Employment and funding context: The position is a temporary full-time postdoctoral appointment for up to two years, intended as a qualified research-focused career step after the doctorate. The announcement states monthly salary and full-time employment, but does not provide a separate scholarship/studentship structure.

How to apply: Applications must be submitted in KTH's recruitment system. The application should include a CV, diplomas and grades from previous university studies, translations into English or Swedish if necessary, and a brief two-page statement describing why you want to conduct research, your academic interests, and how they connect to your previous studies and future goals. The complete application must be received by 2026-09-06 at 23:59 local time.

Contact: Hedvig Kjellström ([email protected]).

Funding details

Available

What's required

A doctoral degree or an equivalent foreign degree is required and must be obtained no later than the employment decision date. The applicant must have research expertise documented through publications in international conferences and journals in computer vision. Documented experience in machine learning, particularly programming deep neural networks, is required, along with experience in computer vision, image processing, or signal processing, and experience with data collection using various motion capture systems. Preferred qualifications include a doctoral degree obtained within the last three years prior to the application deadline, teaching abilities, awareness of diversity and equal opportunity issues with a focus on gender equality, collaborative abilities, and independence.

How to apply

Apply through KTH's recruitment system. Include a CV, copies of diplomas and grades, translations into English or Swedish if needed, and a brief two-page account of your research motivation, academic interests, and future goals. Submit the complete application by the deadline.

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