Postdoc Position in Electrical Engineering (Royal Institute of Technology)

Job Description A central challenge in machine learning is ensuring reliability and trustworthiness. This is especially crucial in high-stakes applications such as medical diagnosis, autonomous driving, and agentic systems. To improve the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a meaningful way, we, therefore, need new scalable methodologies that can efficiently and accurately capture, represent, and reason about uncertainties based on rigorous and principled frameworks. We invite applications for a fully funded WASP postdoctoral researcher position to join and shape the new research group of Martin Trapp. Your Role The goal of this position is to conduct independent research and develop theories and methodologies that help in improving the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a meaningful way. You will be joining the research group of Martin Trapp and develop your own research agenda in the context of the group’s research. A particular focus of the group is to develop and utilise theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models, exact and approximate inference, and neurosymbolics. The candidate is expected to augment the research expertise of the group through their own experience and to conduct research in close collaboration with the group. You will develop theoretical and methodological work that will be released as open-source libraries and publish your work at top-tier machine learning venues (NeurIPS, ICML, ICLR, UAI, AISTATS). Moreover, you will have the opportunity to collaborate with researchers working on machine learning at KTH and collaborate with international experts through the group’s network. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Research expertise in machine learning (e.g., deep learning, probabilistic methods). Independence in research, curiosity, and strong critical thinking abilities. Strong programming and mathematical skills. Outstanding research and publication record. Well-developed analytical and problem-solving skills. Excellent communication skills and proficiency in English (written and oral). Preferred Qualifications Doctoral degree obtained within the last three years prior to the application deadline. Good pedagogical ability. Awareness of diversity and equal treatment issues with a focus on gender equality. Independent in work and able to collaborate effectively with others. Great emphasis will be placed on personal skills. Join us at KTH KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity, and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority. Application Instructions Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad. The application must include: CV including relevant professional experience (max 2 pages). Publication list and short description of 1-2 of the most important publications, including a discussion of your contribution (max one paragraph each). Research statement describing your (i) past research, (ii) future research agenda, and (iii) relation to the group's research (max 2 pages). Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST. Employment Information Position offered is for, at most, three years. A postdoctoral fellowship is a time-limited appointment focusing mainly on research, intended as a first career step after a dissertation. Other Information For information about processing of personal data in the recruitment process. The position may be classified as a security-sensitive role under the Protective Security Act (2018:585). In such cases, security clearance will be conducted with your consent. KTH does not engage with staffing and recruitment agencies or job ad salespersons. Type of Employment: Temporary position, full-time, 100% FTE First Day of Employment: 01.02.2026 or according to agreement Location: Stockholm, Sweden Reference Number: PA-2025-3654 Published: 06.Nov.2025 Application Deadline: 19.Dec.2025 Contact: Martin Trapp, mtrapp@kth.se If you apply for this position please say you saw it on Engineeroxy

Job Description
A central challenge in machine learning is ensuring reliability and trustworthiness. This is especially crucial in high-stakes applications such as medical diagnosis, autonomous driving, and agentic systems. To improve the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a meaningful way, we, therefore, need new scalable methodologies that can efficiently and accurately capture, represent, and reason about uncertainties based on rigorous and principled frameworks.

We invite applications for a fully funded WASP postdoctoral researcher position to join and shape the new research group of Martin Trapp.

Your Role
The goal of this position is to conduct independent research and develop theories and methodologies that help in improving the reliability and trustworthiness of large-scale machine learning models (e.g., LLMs) in a meaningful way. You will be joining the research group of Martin Trapp and develop your own research agenda in the context of the group’s research. A particular focus of the group is to develop and utilise theories from tractable models (probabilistic circuits) and Bayesian statistics to tackle the reliability of machine learning models, touching topics such as uncertainty quantification in large-scale models, exact and approximate inference, and neurosymbolics.

The candidate is expected to augment the research expertise of the group through their own experience and to conduct research in close collaboration with the group. You will develop theoretical and methodological work that will be released as open-source libraries and publish your work at top-tier machine learning venues (NeurIPS, ICML, ICLR, UAI, AISTATS). Moreover, you will have the opportunity to collaborate with researchers working on machine learning at KTH and collaborate with international experts through the group’s network.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education, and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry.

Qualifications

Requirements

A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
Research expertise in machine learning (e.g., deep learning, probabilistic methods).
Independence in research, curiosity, and strong critical thinking abilities.
Strong programming and mathematical skills.
Outstanding research and publication record.
Well-developed analytical and problem-solving skills.
Excellent communication skills and proficiency in English (written and oral).

Preferred Qualifications

Doctoral degree obtained within the last three years prior to the application deadline.
Good pedagogical ability.
Awareness of diversity and equal treatment issues with a focus on gender equality.
Independent in work and able to collaborate effectively with others.

Great emphasis will be placed on personal skills.

Join us at KTH
KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity, and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Application Instructions
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

CV including relevant professional experience (max 2 pages).
Publication list and short description of 1-2 of the most important publications, including a discussion of your contribution (max one paragraph each).
Research statement describing your (i) past research, (ii) future research agenda, and (iii) relation to the group's research (max 2 pages).

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST.

Employment Information

Position offered is for, at most, three years.
A postdoctoral fellowship is a time-limited appointment focusing mainly on research, intended as a first career step after a dissertation.

Other Information

For information about processing of personal data in the recruitment process.
The position may be classified as a security-sensitive role under the Protective Security Act (2018:585). In such cases, security clearance will be conducted with your consent.
KTH does not engage with staffing and recruitment agencies or job ad salespersons.

Type of Employment: Temporary position, full-time, 100% FTE
First Day of Employment: 01.02.2026 or according to agreement
Location: Stockholm, Sweden
Reference Number: PA-2025-3654
Published: 06.Nov.2025
Application Deadline: 19.Dec.2025