Fully Funded ML PhD: Models, Algorithms & Optimization

Technical University of Denmark; Stockholms kommun; On-site; SEK 357,120 - 401,760; Full time

Job summary

The KTH Royal Institute of Technology, in collaboration with NTU Singapore, invites applications for a fully funded PhD in machine learning. Successful candidates will pursue a joint degree, supervised by professors from both institutions, and spend at least 12 months at NTU in Singapore as part of the program.

Applicants should hold a Master of Science in a related field and demonstrate strong skills in algorithms, ML, and optimization, with a track record of high-quality research and results.

Qualifications

• Master of Science in computer science or a related field by enrollment.
• Strong programming and implementation skills in ML.
• Solid background in algorithms, machine learning, and optimization.
• Ability to publish and present high-quality research.
• English proficiency (equivalent to English B/6).

Responsibilities

• Pursue a PhD in machine learning at KTH and NTU.
• Complete minimum 12 months at NTU in Singapore.
• Conduct research on topics like graph mining, representation learning.
• Publish and present research results.
• Be supervised by listed professors Aristides Gionis, Sebastian Dalleiger and Kelly Ke Yiping.

Skills

Machine learning

Algorithms design

Optimization

Programming

Publish research

Education

Master of Science in Computer Science

Job description

The KTH Royal Institute of Technology, in collaboration with NTU Singapore, invites applications for a fully funded PhD in machine learning. Successful candidates will pursue a joint degree, supervised by professors from both institutions, and spend at least 12 months at NTU in Singapore as part of the program.

Applicants should hold a Master of Science in a related field and demonstrate strong skills in algorithms, ML, and optimization, with a track record of high-quality research and results.