Vacancies

Vacancies in the UCL-CCS

Call for Student Volunteers: Cutting-Edge Research Projects at UCL

The Centre for Computational Science and the Department of Computer Science at University College London (UCL) are seeking highly motivated and talented senior Bachelor's and Master's students to join our dynamic research teams as volunteers.

This is a unique opportunity to contribute to pioneering research at the intersection of computational science and artificial intelligence. We will be interviewing qualified applicants on a rolling basis until all positions are filled.

Research Areas

We are currently recruiting for the following three project areas. Please identify the area that best aligns with your interests and expertise:

  1. Physics-Informed Generative AI
    • Explore the integration of physical principles with deep generative models to tackle complex scientific and engineering problems.
    • Contact person: please email Dr Xiao Xue at x.xue@ucl.ac.uk and Professor Peter Coveney at p.v.coveney@ucl.ac.uk.
  2. Quantum Machine Learning
    • Investigate the exciting synergy between quantum computing and machine learning, developing novel algorithms to unlock the power of quantum machine learning for quantum advantage.
    • Contact person:  please email Maida Wang at maida.wang.24@ucl.ac.uk  and Professor Peter Coveney at p.v.coveney@ucl.ac.uk.
  3. AI for Drug Discovery
    • Apply state-of-the-art computational methods and AI to accelerate the design and development of new medicines.
    • Contact person: please email Professor Peter Coveney at p.v.coveney@ucl.ac.uk.

Why Join Us?

  • Publish in High-Impact Journals: Contribute to impactful research with the potential for co-authorship or first-authorship on publications in top-tier academic journals and conferences.
  • Collaborate with Global Leaders: Work alongside experts from world-renowned research institutions (e.g., Oak Ridge National Laboratory, USA) and leading multinational corporations (e.g., NVIDIA, IBM, IQM).
  • Potential for Stipends: A stipend may be available for outstanding and highly committed student contributors.

Applicant Requirements

  • Academic Background: Applicants should be pursuing a degree in Machine Learning, Computer Science, Quantum Physics, Chemistry, Mathematics and Statistics, Engineering, or a related discipline.
  • Programming Proficiency: Demonstrated expertise in programming is essential, particularly with Python and PyTorch, which are used across all projects.
  • Eligibility: Applicants must have the right to study in the United Kingdom.

How to Apply

To apply, please send your CV (highlighting skills related to the research area) and transcript to the designated contact person for your chosen research area and ensure you CC Professor Peter Coveney (p.v.coveney@ucl.ac.uk) on the email.

Please format the subject line of your email as follows: VSP-YourExpectedDegree-Major-YourName

  • Example: VSP-Master-ComputerScience-JamesSmith

We look forward to receiving your application and potentially welcoming you to our team!

Highlights

  • Interdisciplinary Nature: Distinguished by highly interdisciplinary work at CCS, "advancing science through computers," bridging theory, algorithms, implementations on ultra-high-end supercomputers, and end-user applications.
  • International Collaborations: Benefit from extensive global collaborations, opening doors to diverse research opportunities.
  • HPC Resources: Access cutting-edge and powerful High-Performance Computing (HPC, such as Frontier, Polaris, Archer2, etc.) resources for advanced research.
  • UCL Support: Enjoy abundant resources offered by UCL, named as the University of the Year 2024 (The Times and Sunday Times Good University Guide 2024) .
  • Excellent working environment: Enjoy the best office environment in our department, featuring spacious, bright windows, large office desks as well as friendly colleagues waiting for the successful applicants!

Note: If you are interested in any of these projects, please contact Professor Peter Coveney (p.v.coveney@ucl.ac.uk) with your CV, a degree transcript and a motivation letter expressing interest in the project. Informal inquiries are encouraged.