Overview
Lecturer in AI/ML applied to Drug discovery
Join our thriving Department of Chemistry as a Lecturer in AI/ML applied to drug discovery.
Responsibilities
* 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.
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 should outline plans for research activity and grant capture over the coming five years. The teaching vision should outline 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. In your teaching vision please outline how you would contribute to a positive and inclusive environment at Bath. The presentation about your research will be held on Monday 27th October, and 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). Please submit your application via the University website. If you would like to discuss working at Bath with someone not on the interview panel, please contact Professor Sofia Pascu (s.pascu@bath.ac.uk).
We are committed to diversity and inclusion and celebrate difference. We have an international reputation with staff from over 60 nations and hold a Silver Athena SWAN award. We encourage applications from all genders, backgrounds and communities, particularly from under-represented groups, and promote a safe and secure environment for students, staff and community through Safer Recruitment. We are signatories of the Armed Forces Covenant and support diversity and disability confidence initiatives.
What We Can Offer You
We continually expand our benefits package. Examples include:
* Free counselling services through Health Assured
* Cycle to work scheme
* Electric vehicle salary sacrifice scheme
* Staff discounts on various services and tuition
* Generous employer contributory pension schemes
* Generous annual leave with 5 discretionary days
* Personal and professional development opportunities (e.g., Apprenticeships, LinkedIn Learning)
* Free entry to the Holburne Museum in Bath
* Relocation allowance and visa reimbursement options
Find out more about our benefits and watch the staff video on the University of Bath careers page.
Further Details
* Job Description & Person Specification
* Terms and Conditions of Employment
Right To Work In The UK: Immigration status is assessed at offer stage. Further information is available on our application support webpage.
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