Job Reference : S&E-13975
Location : Oxford Road, Manchester
Closing Date : 27/06/2019
Salary : £32,236 - £39,609 per annum (according to relevant experience)
Employment Type : Fixed Term
Faculty / Organisational Unit : Science & Engineering
Division : Applied Mathematics
Hours Per week : Full Time
Contract Duration : 18 Months From Start Date
The appointment will be in the School of Mathematics in the Inverse Uncertainty Quantification Group, and joint with the Henry Royce Institute for Advanced Materials. The project is linked to the Data Centric Engineering Programme at The Alan Turing Institute.
The Inverse Uncertainty Quantification Group has research interests in data assimilation and statistical inference, as broadly applicable across data science and application areas, such as data centric science and engineering and digital twinning. The position involves the timely and high-impact application of data science techniques, including machine learning, statistical inference, and dimension reduction, to materials science and engineering. In particular, the target domain is microstructure informatics. Namely the fingerprinting of microstructures such that distinguishing features can be digitised for inclusion in machine learning methods for materials discovery and manufacturing optimization. Particularly relevant skills include compressed sensing, graphical models, generative adversarial networks, and other statistical feature extraction techniques.
The Henry Royce Institute is the UK’s national institute for advanced materials. With its Hub based at Manchester, the Institute is a partnership of nine leading research organisations - the universities of Cambridge, Imperial College London, Liverpool, Leeds, Oxford, the National Nuclear Laboratory, and UKAEA. As well as word-leading researchers, the Royce brings together more than £330m of advanced materials equipment and facilities available to all UK academics and industry to drive innovation for economic and societal benefit.
The Alan Turing Institute is the UK's national institute for data science and artificial intelligence, with headquarters at the British Library. The Institute is named in honour of Alan Turing (23 June 1912 – 7 June 1954), whose pioneering work in theoretical and applied mathematics, engineering and computing are considered to be the key disciplines comprising the fields of data science and artificial intelligence. Five founding universities – Cambridge, Edinburgh, Oxford, UCL and Warwick – and the UK Engineering and Physical Sciences Research Council created The Alan Turing Institute in 2015. Eight new universities – Leeds, Manchester, Newcastle, Queen Mary University of London, Birmingham, Exeter, Bristol, and Southampton – joined the Institute in 2018.
You should have, or be working towards, a Ph.D. level qualification or experience in Mathematics or a related discipline. Mathematics skills commensurate with the intended analyses are essential. You should be capable of working under your own initiative and possibly leading a small research team, so excellent communication and organisational skills are also required.
The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. All appointments will be made on merit. For further information, please visit: http://www.maths.manchester.ac.uk/about-us/athena-swan/
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies
Enquiries about vacancy shortlisting and interviews:
Manager: Kody Law
Tel: 0161 275 4499
Tel: 0161 850 2004
This vacancy will close for applications at midnight on the closing date
Further particulars including job description and person specification are available on the University of Manchester website - click on the 'Apply' button above to find out more
|Salary:||£32,236 to £39,609 per annum (according to relevant experience)|
|Placed On:||23rd May 2019|
|Closes:||27th June 2019|
Type / Role: