Nikos Nikolaou
1 year ago
Data Intensive Science UCL (University College London) in United Kingdom
Degree Level
PhD
Field of study
Machine Learning
Funding
Full funding availableDeadline
December 31, 2026Country
United Kingdom
University
University Name
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Where to contact
Official Email
Keywords
Machine Learning
Artificial Intelligence
Astrophysics
Molecular Physics
Cosmology
Exoplanetology
Protein Dynamics
Pharmaceutic
Physics
About this position
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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I am offering 3 projects:
1) Causal Representation Learning in Astrophysics and beyond
(applications: Cosmology, Exoplanetary Science), with Prof. Ofer Lahav
2) Exotic forms of matter interaction of modules with intense laser pulses and machine learning techniques for efficient prediction of ultrafast phenomena
(application: Molecular Physics), with Prof. Agapi Emmanouilidou
3) Discovering causal relationships governing biomolecular dynamics
(application: Biomolecular Dynamics, Pharmaceutics), with Prof. Edina Rosta
Details for all available projects can be found here: https://lnkd.in/ghKZXzxJ
If any of this interests you, apply now, or reach out to us for any questions!
https://lnkd.in/ewVqT3FF
Deadline: January 10th (International students) / January 27th (Home students)
UCL Centre for Data Intensive Science and Industry
# ai # ml # machinelearning # artificialintelligence # physics
# astronomy # cosmology # galaxies # exoplanets # ultrafastmoleculardynamics
# biomoleculardynamics , # pharmaceutics , # pharma
# phd # phdposition