Doctoral Student in Machine Learning and Optimization
Join KTH to develop innovative algorithms in machine learning.
Best for:Best for candidates with a Master's in computer science or related fields and strong programming skills.
Overview
KTH Royal Institute of Technology is seeking a highly motivated doctoral student to engage in research focused on machine learning and optimization. The candidate will work on developing new algorithms, formalizing their theoretical foundations, and conducting experimental evaluations. This position offers a unique opportunity to earn a joint doctoral degree from KTH and Nanyang Technological University in Singapore, requiring a minimum 12-month research stay at NTU. Applicants should possess a strong academic background and be prepared to contribute to high-quality research in the field.
What you'll do
- Develop new algorithms and methods in machine learning.
- Formalize theoretical foundations of the developed algorithms.
- Conduct experimental evaluations of algorithms.
- Collaborate with supervisors and peers on research projects.
- Present research findings at conferences and in publications.
Requirements
Degree required: Master of Science in Computer Science, Machine Learning, AI, Data Science, or a related area
Degree offered: PhD
Language: English; equivalent to English B/6
Instruction: English
- Strong programming skills for algorithm implementation and benchmarking
- Solid background in algorithm design and mathematical optimization
- Ability to work independently and collaboratively
- Strong analytical skills to address complex issues
- Must be able to commit to a minimum 12-month research stay at NTU in Singapore
- Basic eligibility as per Swedish Higher Education Ordinance
Funding & terms
How to apply
Deadline: 2026-10-22 (Europe/Stockholm)
Applications must be submitted through KTH's recruitment system. Ensure that your application is complete according to the provided instructions. Include all required documents.
- Copies of diplomas and grades from previous university studies
- CV
- Application letter describing research interests and goals
- Representative publications or technical reports
Contact
Aristides Gionis
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