Postdoctoral Position in Electrical Engineering (Royal Institute of Technology)

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 General Eligibility: 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. Collaborate effectively. Maintain a professional approach. Analyze and solve complex problems. Target Degree: Doctoral degree 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). Application letter (max 1 page). List of publications or technical reports with links. Additional Information: Positions may require security clearance under the Protective Security Act (2018:585). KTH declines contact from staffing agencies or job ad salespersons. Contact Martin Trapp: mtrapp@kth.se If you apply for this position please say you saw it on Academicoxy

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

General Eligibility:

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.
Collaborate effectively.
Maintain a professional approach.
Analyze and solve complex problems.

Target Degree: Doctoral degree

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).
Application letter (max 1 page).
List of publications or technical reports with links.

Additional Information:

Positions may require security clearance under the Protective Security Act (2018:585).
KTH declines contact from staffing agencies or job ad salespersons.