Up to 30% off — ends 7 Aug
ONLY00h00m00s
Up to 30% off — ends 7 Aug
ONLY00h00m00s
Matteo Salvalaglio
11 months ago
This position has expired. You can browse more openings on our positions listing pages.
Developing enhanced sampling / free energy methods for computational kinetics UCL (University College London) in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Expired
Country
United Kingdom
University
University College London

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
More information can be found here
Official Email
Keywords
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.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
I am looking for a PhD student interested in starting in January 2026 at UCL Chemical Engineering .
Ideally, candidates should be interested in computational applied physical chemistry. More in detail, the project will revolve around developing enhanced sampling / free energy methods for computational kinetics in complex environments (in liquids, at surfaces, ...), leveraging ideas that combine statistical mechanics and machine learning.
While the official ad will be out soon, I can anticipate that the project will be supported by a EU grant and will be part of a broader collaboration.
If you know anyone who could be potentially interested, please encourage them to get in touch with me, and I will be able to advise on the application process - contacts and details are available here: https://lnkd.in/eSGHH-Vz
Some more info on our group: https://mme-ucl.github.io/