Ref Number
B02-10992
Professional Expertise
Research and Research Support
Department
School of Life & Medical Sciences (B02)
Location
London
Working Pattern
Full time
Salary
£43,981-£52,586
Contract Type
Fixed-term
Working Type
On site
Available for Secondment
No
Closing Date
09-Aug-2026
The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. We have an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration.
Further information can be found on our website https://www.ucl.ac.uk/biosciences
This is an exciting opportunity to join the Hansen lab at UCL and Crick
We focuse on the development of nuclear magnetic resonance (NMR) techniques, including techniques to characterise the functional dynamics of large proteins. A major part of our research currently consists of developing artificial intelligence to propel NMR into the future, including deep learning tools to transform and analyse complex NMR spectra and reinforcement learning tools to develop the next generations of NMR methods.]
The main purpose of this position is to to develop and assess deep learning tools to transform and analyse complex NMR data. Combining deep learning and NMR will allow for new and more sensitive methods. A second objective of the research is to develop reinforcement learning tools, which in turn develop optimised NMR methods (pulse sequences). The research includes both building AI strategies as well as developing optimal NMR pulse sequences
- Research Fellow - 'Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary £38,357 - £41,005 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis.'
- We will consider applications to work on a part-time, flexible and job share basis wherever possible.
- This role is NOT generally eligible for hybrid working, but requires on-site working
- This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
- This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please visit https://www.ucl.ac.uk/human-resources/policies/2021/jun/conditions-service-academic-stafffor more information.
- The role is eligible for Skilled worker Visa cost reimbursement as well as covering the costs for a Certificate of Sponsorship.
A job description and person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact D Flemming Hansen at [email protected]. If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR Administrator.
You are most of all curious and ambitious and with a strong background in biomolecular NMR spectroscopy, artificial intelligence and scientific programming. You will hold, or be close to completing, a PhD in a relevant discipline and have a publication record demonstrating your ability to deliver original research.
You will have experience designing and implementing advanced NMR pulse sequences, particularly experiments used to investigate chemical exchange and protein dynamics, and practical knowledge of Bruker NMR spectrometers. You will also have substantial expertise in Python, including the development of software for analysing, visualising and interpreting NMR spectra. Experience building and training deep neural networks for the transformation or analysis of complex scientific datasets (ideally NMR) is essential, while knowledge of reinforcement learning would be advantageous.
You should be confident in analysing protein NMR spectra, including datasets used for chemical-shift assignment and the quantitative characterisation of conformational exchange. You will be able to discuss complex scientific findings clearly through publications, conference presentations and discussions with collaborators.
We are looking for someone who is intellectually curious and has a true drive for new discoveries. You will contribute positively to our geeky research environment, support students, maintain reproducible research practices, and manage deadlines effectively. A flexible, collegiate approach, commitment to research integrity is essential. You will pursue new ideas while truly enjoying the journey ..
An exciting geeky research environment and a very supportive group of people
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
- 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
- Additional 5 days’ annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-Site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce.
These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our division holds an Athena SWAN Silver award, in recognition of our commitment to advancing gender equality.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
