PhD position in models, algorithms, and optimization for machine learning. Joint degree in KTH (Sweden) and NTU (Singapore)

[Aris Gionis]

We invite applications from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree awarded by KTH and NTU. The successful candidate will be supervised by professor Aristides Gionis (KTH), associate professor Kelly Ke Yiping (NTU), and assistant professor Sebastian Dalleiger (KTH). The doctoral student will be recruited and formally enrolled at KTH, and will be required to spend a minimum of 12 months at NTU in Singapore as part of the joint program. The research project is broadly situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine learning, representation learning, and fair, accountable, and transparent machine learning.

Applicants must hold a Master's degree by the time of enrollment. Successful candidates should be highly self-motivated and committed to publishing and presenting high-quality research. Solid background in algorithms design, machine learning, and optimization is essential, along with strong programming and implementation skills.

Supervision: Aristides Gionis (KTH), Sebastian Dalleiger (KTH), Kelly Ke Yiping (NTU)

Applications must be made online through the KTH job portal. Full position details, including how to apply online can be found at:

https://www.kth.se/lediga-jobb/898105?l=en

The deadline for online applications is March 5, 2026.