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Lecturer (Assistant Professor) in Mathematics and Data Science

Job title Lecturer (Assistant Professor) in Mathematics and Data Science

Department Mathematical Sciences

Salary Starting from £42,149, rising to £50,296

Grade Grade 8

SOC Code - Visa Requirements 2311

Placed on Thursday 03 March 2022

Closing date Sunday 03 April 2022

Interview date To be confirmed

Reference CC9192

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The Department of Mathematical Sciences are looking to enhance and broaden their current strengths in the mathematical and computational aspects of data science and would welcome your application if you are a mathematician with experience working any area of data science including, but not limited to:

  • machine learning
  • neural networks
  • compressed sensing
  • imaging and inverse problems
  • network science
  • optimisation
  • uncertainty quantification
  • numerical linear algebra
  • statistical and stochastic methods
  • financial mathematics and data science applied to finance

About you:

You should be able to demonstrate your potential for achieving and sustaining a leading research programme, and to be active in developing and submitting competitive applications for external funding. You should also have a commitment to pursuing excellence in undergraduate and postgraduate teaching, and in supervising graduate students. We expect you to contribute to the teaching of programming and data science units.

You will be expected to develop a research programme that will integrate into one or more of the existing research groups in the Department: AGeNT (Algebra, Geometry and Number Theory), Analysis and PDEs, ProbL@B (Probability Laboratory at Bath), Statistics, AIMS (Applied and Interdisciplinary Mathematics) and NASC (Numerical Analysis and Scientific Computing). You will also be expected to play an important role in the Centre for Mathematics and Algorithms for Data. 

Alongside completion of the online application form, please upload:

  • a full Curriculum Vitae 
  • a statement of research interests of up to three pages, also explaining how your work would broaden or strengthen existing activity at Bath
  • a one-page summary of teaching experience and strategy

Applications from all groups currently under-represented in academic posts are particularly encouraged. We are working to improve the present gender balance within the Department, and particularly welcome applications from women. Both the Department and the University are committed to providing a supportive and inclusive working environment and both hold Athena Swan Silver awards. Flexible working options including part-time will be considered wherever possible. For more information visit http://www.bath.ac.uk/hr/working/flexible-working/.

About the Department:

The Department of Mathematical Sciences has over 70 academic staff from all areas of Mathematics, and is ranked in the top 100 in the world. Our Department emphasises the unity of Mathematics and there are strong interactions between all research groups: AIMS, NASC, Probability (ProbL@B), Statistics, Analysis and PDEs and AGeNT. Impact is achieved through a wide variety of interdisciplinary research projects, and industrial collaborations.

These activities are supported by the Centre for Doctoral Training in Statistical Applied Mathematics at Bath (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.

Informal enquiries may be addressed to: Prof. Paul Milewski (pam28@bath.ac.uk), Dr. Clarice Poon (cmhsp20@bath.ac.uk) or Dr. Tony Shardlow (tjs42@bath.ac.uk).

What we can offer you:

Our campus is surrounded by beautiful countryside, and the City of Bath with its historic charm and social activity only a short distance away creates an excellent environment in which to work. We are:

  •     a family friendly workplace 
  •     open to exploring flexible working opportunities which benefit you and the University. 
  •     recognising of the talents of our diverse workforce through an excellent reward package
  •     able to offer you a very generous employer contributory pension
  •     an employer who wants you to enjoy a work life balance and we offer a generous annual leave allowance to recognise that. 
  •     encouraging of your personal and professional development

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.

We aim to be an inclusive university, where difference is celebrated, respected and encouraged. We truly believe that diversity of experience, perspectives, and backgrounds leads to a better environment for our employees and students, creating a learning environment and organisational culture that enhances health and wellbeing across our community. We are very proud to have recently received Ambassadors for Autism certification and are an accredited Disability Confident Leader; committed to building disability confidence and supporting disabled staff.

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Further details:

Visa information:

If you think you may require a visa to work in the UK you should refer to our guidance on the Skilled Worker Visa before embarking on a job application to ensure that you understand the requirements for sponsorship. You may be eligible to work in the UK via other alternative visa routes such as the Global Talent Visa or by having Settlement / ILR, please refer to our Staff Immigration webpages for further details.

Update to our application process:

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 the personal details of all applicants will be withheld at the initial shortlisting stage.
 


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