About this role
Project Description
PhD Subject: Information and Communication Technology
We are seeking a candidate for a fully funded doctoral position within WASP to join https://trappmartin.github.io/'s new research group working on the reliability and credibility of machine learning models.
You will work with large-scale open-source machine learning models, develop theoretical and methodological work to improve model reliability and credibility, develop open-source libraries, and publish in top-tier machine learning platforms (NeurIPS, ICML, ICLR, UAI, AISTATS). Additionally, you will have ample opportunities to collaborate with researchers working on reliable machine learning.
Wallenberg AI, Autonomous Systems and Software Program, WASP, is Sweden's largest single research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industries. The research encompasses artificial intelligence and autonomous systems that operate in collaboration with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent systems of systems. WASP's vision is excellent research and expertise in artificial intelligence, autonomous systems, and software for the benefit of Swedish industry and society.
WASP's Graduate School aims to provide future researchers with the necessary knowledge to analyze, develop, and actively contribute to the interdisciplinary development of artificial intelligence, autonomous systems, and software. Through an ambitious program of research visits, partner universities, and guest lecturers, the graduate school actively supports the formation of a strong multidisciplinary and international professional network between doctoral students, researchers, and industry. The graduate school thus offers a unique opportunity for students attracted to world-class international research with industrial relevance.
Supervision: Associate Senior Lecturer Martin Trapp and Professor Henrik Boström are proposed as supervisors. Final decision will be made upon admission.
We Offer
- The opportunity to https://www.kth.se/en/studies/phd
- A workplace with https://www.kth.se/om/work-at-kth/en-arbetsplats-med-manga-formaner-1.467932 and monthly salary according to https://intra.kth.se/anstallning/anstallningsvillkor/lon/doktorandstegen-1.572915
Admission Requirements
To be admitted to doctoral studies (Chapter 7, Section 39 of the Higher Education Ordinance), the applicant must have basic eligibility:
- Completed an advanced level degree, or
- Completed course requirements of at least 240 higher education credits, of which at least 60 credits at the advanced level, or
- Acquired essentially equivalent knowledge in Sweden or abroad
- Strong skills in mathematics and programming
- Good knowledge of machine learning, statistics, linear algebra, and optimization
- Research experience through peer-reviewed publications
In addition, there are https://www.kth.se/en/studies/phd/admission-requirements-1.520175.
Selection
To succeed in your doctoral studies at KTH, you need to be goal-oriented and persistent in your work. Candidates will be assessed on their ability to:
- Work independently
- Collaborate with others
- Maintain a professional approach
- Analyze and work with complex issues
Personal qualities will be given significant weight after meeting the eligibility requirements.
Target Degree: Doctoral Degree
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