A fully funded PhD position is available in models, algorithms, and optimization for machine learning, leading to a joint doctoral degree from KTH Royal Institute of Technology (Sweden) and Nanyang Technological University (Singapore). The research project is situated in the field of machine learning, with potential topics including algorithmic knowledge discovery, graph mining, social network analysis, optimization for machine learning, representation learning, and fair, accountable, and transparent machine learning. The successful candidate will be supervised by Professor Aristides Gionis and Assistant Professor Sebastian Dalleiger at KTH, and Associate Professor Kelly Ke Yiping at NTU.

The doctoral student will be recruited and formally enrolled at KTH, with a requirement to spend at least 12 months at NTU as part of the joint program. Applicants must hold or be about to receive a Master of Science degree in computer science, machine learning, AI, data science, or a related area. A strong background in algorithm design, machine learning, and optimization, as well as strong programming and implementation skills, is essential. English proficiency equivalent to English B/6 is mandatory. Candidates should be highly self-motivated, able to work independently and collaboratively, and committed to publishing and presenting high-quality research.

The position is fully funded, offering a monthly salary according to KTH's doctoral student salary agreement, along with employee benefits. The total length of employment corresponds to full-time doctoral education for four years. The application deadline is March 5, 2026. To apply, candidates must submit a complete application through KTH's recruitment system, including a CV, application letter, diplomas, grades, language certificates, and relevant publications. All documents must be certified and translated if necessary. For more information, visit the official KTH job posting or contact Professor Aristides Gionis at [email protected].

Keywords: machine learning, algorithms, optimization, graph mining, social network analysis, representation learning, computer science, KTH, NTU, PhD, Sweden, Singapore.