Postdoctoral Position in Electrical Engineering

Polytechnicpositions; Stockholms kommun; On-site; SEK 461 000 - 604 000; Full time

Job summary

A prestigious research institution in Stockholm is seeking a Postdoctoral Researcher in Electrical Engineering to explore the reliability of machine learning models. The ideal candidate will have a Master's degree, strong analytical skills, and a background in machine learning. This position offers competitive monthly salary and aligns with a dynamic international research environment, making significant contributions to the field.

Benefits

Dynamic, international research environment

Monthly salary according to salary agreement

Collaboration opportunities across industries

Qualifications

• Strong mathematical and programming skills.
• Prior research experience with peer-reviewed publications.
• English proficiency equivalent to English B/6.

Responsibilities

• Work with open-source, large-scale machine learning models.
• Conduct theoretical and methodological research to improve model reliability.
• Collaborate with researchers in trustworthy machine learning.

Skills

Strong mathematical skills

Programming skills

Background in machine learning

Problem analysis

Education

Second-cycle degree (Master’s) or equivalent

Job description

Postdoctoral Position in Electrical Engineering

Royal Institute of Technology

Sweden

Institution: School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology

Location: Stockholm, Stockholms län, Sweden

Reference Number: PA-2025-3504

Employment Type: Full-time, Temporary

Start Date: 1 February 2026 or as agreed

Application Deadline: 19 December 2025

Project Description

Third-cycle subject: Information and Communication Technology

KTH invites applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp, focusing on the reliability and trustworthiness of machine learning models.

Key responsibilities

• Work with open-source, large-scale machine learning models.
• Conduct theoretical and methodological research to improve model reliability and trustworthiness.
• Develop open-source libraries.
• Publish in top-tier ML venues (NeurIPS, ICML, ICLR, UAI, AISTATS).
• Collaborate with researchers in trustworthy machine learning.

Program

Part of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden’s largest research program in AI and autonomous systems.

The WASP graduate school supports interdisciplinary skills, research visits, and international professional networks.

Supervision

Assistant Professor Martin Trapp and Professor Henrik Boström. Admission decisions determine supervision.

What We Offer

Dynamic, international research environment with collaboration opportunities across industries and universities worldwide.

Monthly salary and employee benefits according to KTH’s doctoral student salary agreement.

Admission Requirements

• Second-cycle degree (Master’s) or equivalent knowledge (~240 ECTS with at least 60 second-cycle credits).
• Strong mathematical and programming skills.
• Background in machine learning, statistics, linear algebra, and optimization.
• Prior research experience with peer-reviewed publications.
• English proficiency equivalent to English B/6.

Selection Criteria

Candidates will be assessed on the ability to:

• Work independently.
• Maintain a professional approach.
• Analyze and solve complex problems.

Employment Information

• Only admitted postgraduate students may be employed.
• Maximum employment length corresponds to full-time doctoral education for four years.
• Up to 20% of time may be allocated to training and administrative tasks.
• Initial employment is for one year, renewable for up to two years at a time.
• Licentiate degree programs have a maximum employment period of two years.

Application Instructions

Submit applications through KTH's recruitment system, including:

• Copies of diplomas, grades, and language certificates (certified translations if needed).
• CV (max 1 page).
• Research statement outlining agenda and alignment with the group (max 1 page).
• List of publications or technical reports with links.

Positions may require security clearance under the Protective Security Act (2018:585).

KTH declines contact from staffing agencies or job ad salespersons.

In your application, please refer to Polytechnicpositions.com