The University of Manchester at Harwell (https://www.harwell.manchester.ac.uk), home of the Diamond Light Source, wishes to increase the capability of 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 3 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) at their Harwell Laboratory site.
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.
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:
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:
Professor Neil Bourne, Director, The University of Manchester at Harwell
Dr Tingting Mu
Dr Jeyan Thiyagalingam, Head of Scientific Machine Learning Group, Rutherford Appleton Laboratory, Science and Technology Facilities Council, Harwell Campus
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, and the guidance notes on submitting your application. Note that you will need to upload a CV and provide names of 3 referees, so please have these to hand.
Please note that interviews will be held very shortly after the closing date, and you will be invited to give a 15 minute presentation: “Outline your proposed approach to developing data engineering techniques and software infrastructure to enable current and future research using the Harwell Neutron and Light Sources”.