Publisher
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KTH Royal Institute of Technology

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PhD in Machine Learning and Optimization at KTH and NTU KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Employed doctoral student position with monthly salary according to KTH’s doctoral student salary agreement and employee benefits. The position is temporary and full-time; the doctoral student will be enrolled at KTH and spend at least 12 months at NTU as part of the joint doctoral program.

Deadline

Oct 22, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Mathematics
Algorithm Design
Network Analysis
Optimisation
Statistics
ML

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About this position

KTH Royal Institute of Technology is recruiting a doctoral student in machine learning and optimization within the School of Electrical Engineering and Computer Science. The project is broadly situated in computer science and focuses on developing new algorithms and well-founded methods, formalizing theoretical foundations, and evaluating them experimentally.

Research topics mentioned include machine learning, algorithmic knowledge discovery, graph mining, social network analysis, optimization for machine learning, representation learning, and fair, accountable, and transparent machine learning. The position leads to a joint doctoral degree from KTH Royal Institute of Technology (Sweden) and Nanyang Technological University (Singapore), with at least 12 months at NTU in Singapore.

Supervision is listed as Aristides Gionis, Sebastian Dalleiger, and Kelly Ke Yiping. The successful candidate will be enrolled as a doctoral student at KTH and employed under KTH’s doctoral student salary agreement.

Eligibility highlights: applicants must have basic eligibility for postgraduate education, typically a second-cycle degree or equivalent, and must hold or be about to receive a Master of Science in computer science, machine learning, AI, data science, or a related area. Strong academic credentials, strong programming skills, and a background in algorithm design, machine learning, mathematical optimization, or learning theory are emphasized. English proficiency equivalent to English B/6 is required.

Location: Stockholm, Sweden. Deadline: 22 October 2026.

How to apply: Submit the application through KTH’s recruitment system. Include diplomas and grades, proof of language requirements, a CV, a motivation/application letter, and representative publications or technical reports.

Funding details

Employed doctoral student position with monthly salary according to KTH’s doctoral student salary agreement and employee benefits. The position is temporary and full-time; the doctoral student will be enrolled at KTH and spend at least 12 months at NTU as part of the joint doctoral program.

What's required

Applicants must have basic eligibility for postgraduate education, typically a second-cycle degree such as a master's degree, or equivalent knowledge. The applicant must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related area. Strong academic credentials are required, along with strong programming skills and a solid background in algorithm design, machine learning, mathematical optimization, or learning theory. The candidate must be able to commit to a minimum 12-month research stay at NTU in Singapore and must have English proficiency equivalent to English B/6.

How to apply

Apply through KTH's recruitment system. Submit diplomas and grades, proof of language requirements, a CV, an application letter describing research interests and goals, and representative publications or technical reports. Ensure the application is complete before the deadline.

More information can be found here

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