Back to search results

Lecturer/Senior Lecturer (Teaching and Research) in Mathematics

University of Birmingham - The School of Mathematics

Location: Birmingham
Salary: £41,526 to £77,108 Grade 8/9
Hours: Full Time
Contract Type: Permanent
Placed On: 12th February 2020
Closes: 15th March 2020
Job Ref: 36722

Full time salary £41,526 - £77,108 (Lecturer full time starting salary is normally in the range £41,526 to £49,553. With potential progression once in post to £55,750 a year). (Senior Lecturer/Reader full time starting salary is normally in the range £51,034 to £59,135. With potential progression once in post to £77,108 a year).

Applications are invited for a Lecturer/Senior Lecturer post in the School of Mathematics, in Mathematical Optimization, Data Science.

The School of Mathematics at the University of Birmingham is keen to maintain and further develop its research strength in Mathematical Optimization and mathematical underpinning of Data Science. The School is now seeking to appoint an active and committed researcher in the emerging areas of modern Mathematical Optimization, such as Optimization for Machine Learning and Data Science, Dimensionality Reduction, Stochastic Optimization, and Uncertainty Qualification.

The University of Birmingham is part of the Alan Turing Institute, the UK's national institute for Data Science and Artificial Intelligence; we particularly welcome mathematically-focused applications related to these areas.

The successful candidate would join an energetic and outward-facing group with internationally-recognised strengths in computational nonlinear optimization, semidefinite programming, uncertainty qualification, tropical algebras, equilibrium systems and a variety of aspects of linear and nonlinear mathematical optimization.

Main Duties and Responsibilities: To create and disseminate knowledge through initiating and conducting significant original research in Mathematical Optimization, mathematical underpinning of Data Science and through developing and delivering undergraduate and postgraduate programmes, as appropriate to the disciplinary area. In addition, to contributing to the school through management/leadership, and enterprise activities, as appropriate.

Skills and Knowledge: The candidate will collaborate effectively in a team atmosphere, will have an intellectually challenging research agenda in any area of mathematical optimization and data science and a commitment to innovative research-led teaching.

The successful candidates will have a PhD (or close to completion) in Mathematics or Computer Science, a first-class research record in Mathematics, and a commitment to teaching, along with excellent communication skills. Senior Lecturer candidates will demonstrate experience in attracting external funding.

For further information please contact Professor Michal Kocvara, m.kocvara@bham.ac.uk or telephone 0121 414 6598.

The School of Mathematics is a supportive, family friendly environment, committed to equality, diversity and inclusivity. We encourage applications from the widest community and provide equal opportunities in our recruitment processes.

The University of Birmingham is an equal opportunity employer.

Informal Enquiries to Professor Michal Kocvara, m.kocvara@bham.ac.uk

To download the details and submit an electronic application online please click on the Apply Online button below; please quote Job Reference in all enquiries. Alternatively information can be obtained from 0121 415 9000 or visit www.birmingham.ac.uk/jobs

Valuing excellence; sustaining investment

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from University of Birmingham

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge