Lectureship (Assistant Professor) Digital Chemistry

About the role

Join our thriving Department of Chemistry as a Lecturer in digital chemistry. 

• You will develop an internationally leading independent research programme in the broad area of digital chemistry.
• You will teach aspects of applied digital chemistry in both lectures and computational classes, more specialised units in the final year 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, & management of the Department’s activities. 

About you

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 digital chemistry. We would be interested to hear from you if your research interests lie in digital chemistry in the widest sense (a non-exhaustive list):

• integration of AI/ML into chemistry (e.g. drug discovery, tailored synthesis, sustainable chemistry applications, virtual screening or digital retrosynthesis);
• utilisation of automation and robotics to accelerate chemical discovery & optimisation;
• application of data-centric approaches, including the use of “big data” and advanced simulation to allow more sustainable discovery of new materials, formulations and pharmaceuticals;
• use AI/ML to accelerate more traditional computational workflows.

If you could interact with and complementing (and enhance) existing research within the department this would be advantageous.

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 2 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 these documents you should also state how you will facilitate a positive and inclusive working environment at Bath.

Further information

This is a full-time role (36.5 hours per week) with an expected start date of October 2026 or as soon as possible thereafter.

The recruitment process will consist of a departmental presentation and an interview. Both of these will take place on July 6^th.

For informal discussion about the role, please contact:

Professor Matthew Jones, Head of Department (mj205@bath.ac.uk),

Prof Gan Shermer, director of teaching (g.shermer@bath.ac.uk),

Dr Matthew Grayson, Senior Lecturer in Machine Learning (mng25@bath.ac.uk), or

Dr Ben Morgan Head of Computational Chemistry (bjm42@bath.ac.uk)

However, please submit your application via the University website.

We consider ourselves to be a university where difference is celebrated, respected & encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality & intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, & backgrounds will lead to a better environment for our employees and students.

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