Post-Doctoral Research Associate in Data Science

Job reference: SAE-020580

Location: Harwell, Oxfordshire

Closing date (DD/MM/YYYY): 05/04/2023

Salary: £34,308 to £42,155 per annum according to relevant experience plus a £3000 per annum location allowance

Employment type: Fixed Term

Faculty/Organisation: Science and Engineering

Division: Department of Computer Science

Hours Per Week: Full time

Contract Duration: 2 years

School / Directorate: School of Engineering

​​​​​​​​​​​​​​THE UNIVERSITY OF MANCHESTER​​​​​​​

FACULTY OF SCIENCE AND ENGINEERING

DEPARTMENT OF COMPUTER SCIENCE

The University of Manchester at Harwell

Post-Doctoral Research Assistant in Data Science

Salary £34,308 to £42,155, + £3000 pa location allowance

The University of Manchester at Harwell, based on the STFC Rutherford Appleton Laboratory site, home of the Diamond Light Source, wishes to increase the capability of the team in handling scientific datasets with AI and machine learning. We are offering a prestigious technical position in the area of developing AI/Machine learning -based techniques to enable novel analysis of the data streams from the national facilities at Harwell. The position is for a fixed term 2 year period, and is a joint venture between The University of Manchester and the Scientific Machine Learning (SciML) Research Group of the Ada Lovelace Centre, at the Science and Technology Facilities Council (STFC) on Harwell campus.

The Post-Doctoral Research Assistant in Data Science will be appointed jointly by the University of Manchester at Harwell (UoMaH) and STFC. They will be based, and managed, at the Harwell campus by the UoMaH Director and be affiliated to the Department of Computer Science. On the STFC side their work will be supervised by the Head of the Scientific Machine Learning Group. Their work will be split between developing software infrastructure to enable novel data analytics research, and building a network of users and facilities at the Harwell neutron and light sources who are developing techniques using Machine Learning and Artificial Intelligence (AI) to interrogate the big data streams generated by the National Facilities at Harwell. This will facilitate the development of novel automated solutions that are intelligent and capable of handling multidimensional, multi-modal datasets. As such, for this post, we are seeking a ‘hands-on’ data scientist with a background and knowledge of machine learning, applied maths, and data analysis along with strong research software engineering skills. The ideal candidate is someone whose primary focus is developing machine learning-based algorithms, and implementing them in software with relevant data analysis components, and who is keen to apply their skills to further the science performed at the Harwell facilities.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Blended working arrangements may be considered

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Neil Bourne, Director, The University of Manchester Harwell

Email: Neil.Bourne@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.