Overview
Lecturer in AI/ML applied to Drug discovery (AP13001) – Bath, BA2 7AY
About the role
Join our thriving Department of Chemistry as a Lecturer in AI/ML applied to drug discovery
- You will develop an internationally leading independent research programme.
- You will teach applied AI/ML in a drug discovery context in both lectures and computational classes, more specialised units in the final year (in both departments) and contribute to our PGT course on Drug Discovery (joint with the department of Life Sciences), maintaining the University’s high standards in teaching and learning, and its inclusive and supportive learning environment.
- You will be supported to contribute at an appropriate level to the administration, leadership, and management of the Department’s activities.
At Bath we offer an exceptional environment for research teaching and learning and we wish to support you in reaching your potential for internationally leading research, in the broad field of AI/ML applied to drug discovery. We would be interested to hear from you if your research interests lie in applied AI/ML in the widest sense (a non-exhaustive list):
Generative AI for drug design and optimisation; Models to evaluate target-molecule interactions; Models to predict relevant properties of drugs; AI and ML methods to rapidly screen both drug targets and drug candidates; accelerating molecular simulation of biological systems with ML.
If you could interact with and complementing (and enhance) existing research within the department this would be advantageous.
About you
You should hold a PhD and be able to demonstrate the potential to develop an internationally leading research programme, to acquire significant funding from UK and international sources, and to produce high quality publications
Application Requirements & Selection Process:
Please provide both research and teaching statements of up to two pages for each in addition to a full CV.
Your research statement needs to outline your plans and intentions for research activity and grant capture over the coming five years. This document will be treated in the strictest confidence and with full respect for ownership. The teaching vision should outline your areas of teaching expertise and a range of potential teaching subjects as well as course development interests. These are mandatory components of the selection process, without which we will be unable to progress your application. In your teaching vision please outline how else you would see yourself contributing to a positive and inclusive environment at Bath.
The presentation about your research will be held on Monday 27th October, Interviews will be held on Tuesday 28th October.
Further information
For informal discussion about the role, please contact Professor Matthew Jones, Head of Department (mj205@bath.ac.uk), Dr Gan Shermer, director of teaching (g.shermer@bath.ac.uk), Dr Matthew Grayson, Senior Lecturer in Machine Learning (mng25@bath.ac.uk), Dr Ben Morgan head of Computational Chemistry (bjm42@bath.ac.uk) However, please submit your application via the University website.
If you would like to discuss working at Bath or the department in general with someone not on the interview panel please contact Professor Sofia Pascu (s.pascu@bath.ac.uk).
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
We’re very proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader; autism friendly university, committed to building disability confidence and supporting disabled staff.
What we can offer you:
We’re continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:
- Free counselling services through Health Assured
- Cycle to work scheme
- Electric vehicle salary sacrifice scheme
- Staff discount at Team Bath gym
- Staff discounts on postgraduate tuition fees
- Staff discount on language courses
- Generous employer contributory pension schemes
- Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
- Free entry to the Holburne Museum in Bath
- Local discounts and more
- A family-friendly workplace
- An excellent reward package that recognises the talents of our diverse workforce
- Relocation allowance
- Visa reimbursement and Interest-Free Loan to help with the cost of some immigration expenses
Find out more about our benefits and watch the video to hear from our staff about what makes the University of Bath a great place to work as well as following us X and LinkedIn.
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Closing Date: 30 Sep 2025
Department: Education & Research
Salary: £47,389 to £56,535
