Doktorand inom maskininlärning och optimering
Core
Developing new algorithms and methods for machine learning, formalizing their theoretical foundations, and evaluating them experimentally.
Role type
PhD researcher (machine learning and optimization)
Builds
Research outputs including algorithmic knowledge extraction, graph data extraction, social network analysis, optimization for machine learning, representation learning, and fair/responsible AI.
Domain
Academic research in machine learning and optimization
Deliverable
research
Required skills
algorithm design, machine learning, mathematical optimization, learning theory, programming
Preferred skills
strong academic record, publications, research experience
Technologies
N/A
Responsibilities
Develop new algorithms and methods, formalize theoretical foundations, evaluate methods experimentally, collaborate with supervisors at KTH and NTU.
Seniority
PhD candidate (early career researcher)
