Job title Lecturer in Mathematics
Department Mathematical Sciences
Salary Starting from £45,585, rising to £54,395
Grade Grade 8
SOC Code - Visa Requirements 2311
Placed on Tuesday 14 November 2023
Closing date Wednesday 10 January 2024
Interview date Tuesday 20 February 2024
The Department of Mathematical Sciences at the University of Bath is looking to appoint a Lecturer in Mathematics (Assistant Professor).
This is part of our plan to appoint three new academic staff to grow our world-leading research expertise in Applied Mathematics, Statistics, Probability and Data Science.
About the role:
We anticipate that the appointee will engage with impact-aligned activities in the department including our EPSRC Centre for Doctoral Training ( SAMBa) and the Institute for Mathematical Innovation ( IMI).
We expect that one of these positions will support research and teaching in the emerging area of Mathematical Machine Learning.
All candidates should be able to demonstrate their potential for achieving and sustaining a leading research programme that integrates into one or more of the existing research groups in the Department.
They should be active in developing and submitting competitive applications for external funding.
They should be committed to pursuing excellence in undergraduate and postgraduate teaching, and in supervising graduate students.
The Department of Mathematical Sciences has over 70 academic staff from all areas of mathematics.
Its research activities are supported by our Centre for Doctoral Training ( SAMBa ) , which has currently over 80 PhD students. In addition, the Bath Institute for Mathematical Innovation (IMI) promotes and supports cross- campus research activities, industrial and international collaborations in all areas of mathematics and statistics.
Various research centres such as the Centre for Mathematical Biology (CMB), the Centre for Mathematics and Algorithms for Data (MAD), the Centre for Networks and Collective Behaviour (CNCB), and the Centre for Nonlinear Mechanics (CNM), provide focus in interdisciplinary collaborations.
Bath is a UNESCO World Heritage Site and provides for a high quality of life, together with proximity to Bristol and excellent transport connections with London.
The Department holds an Athena Swan Silver award and has a wider Equality, Diversity and Inclusion Action Plan as part of our commitment to providing a supportive and inclusive working environment for all our students and staff. We are working to improve the balance of both gender and ethnicity in the Department, and particularly welcome applications from women and people of colour.
More generally, applications from any groups currently under-represented in academic posts are warmly received.
The first stage of shortlisting will be carried out anonymously, so it is essential that you complete the anonymous questions on the online application form. After the initial anonymous stage, further materials will be seen by the shortlisting committee, and for this it is suggested that you upload:
What we can offer you:
We aim to be an inclusive 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, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams.
We are very proud to be an autism friendly university and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.
Find out from our staff what makes the University of Bath a great place to work. Follow us @UniofBath and @UniofBathJobs on Twitter for more information.Further details:
Job Description & Person Specification
Terms and Conditions of Employment
We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details will be removed from application forms at the initial shortlisting stage.