7-weeks PhD course on MM Optimization Algorithms with Machine Learning Applications

Digital Futures welcome PhD students and master students interested in research!

The main objective of this PhD course, by Dr Chathuranga Weeraddana, is to introduce the theory of MM (minimize a majorization) principle with an emphasis on related optimization algorithms and their applications to machine learning.

Course dates: 6 April, 20 April, 27 April, 4 May, 11 May, 17 May and 18 May
Course lecturer: Dr Chathuranga Weeraddana: Digital Futures scholar in residence

For more information visit the course website here.

For questions please contact: Carlo Fischione: carlofi@kth.se

More news

Poster for the Wallenberg-NTU Presidential Postdoctoral Fellowship, outlining the programme details, a 31 December 2026 application deadline, and a QR code to apply.

Open call: Wallenberg-NTU Presidential Postdoctoral Fellowship

03/11/2026

The call for applications for the Wallenberg-NTU Presidential Postdoctoral Fellowship is open. Supported by the...

A person's open palm holding a clear glass sphere that reflects a green, leafy landscape.

New funding opportunities: PhD mobility to Imperial College London and Proof-of-Concept grants

23/10/2026

Digital Futures has two new calls open, offering opportunities to strengthen international research collaboration and...

Close-up of young green seedlings emerging from soil, with soft focus on leaves and stems. The background is blurred, highlighting the fresh, vibrant growth of the plants.

Eight research pairs projects receive Digital Futures funding

22/10/2026

Eight research projects have been awarded funding by Digital Futures within the Swedish Strategic Research...

Four Digital Futures partner projects receive funding

22/10/2026

Four projects involving industry and public-sector partners have been awarded funding by Digital Futures. The...