NUSolve Innovation Assistant/Associate in Data Science'

Company description:

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

Job description:

The Role

Newcastle University Solve (NU Solve) in the School of Mathematics, Statistics & Physics (MSP) has a track record of applying world-class academic expertise to businesses, industry, and wider society. From bespoke training and research to funded placements and consultancy, NU Solve works with businesses in the fields of mathematics, statistics, data science and physics to make real impact outside of academia.

NU Solve has a new and exciting role for an associate in data science to work on a diverse range of business projects with key industry, business, and government partners. The role will expand the capacity of NU Solve to develop closer partnerships with businesses, cultural industries, and external agencies, and to broaden the scope of activity for the School of MSP in the area of data science, machine learning, statistics and generative AI. This will help to strengthen and expand our School business, innovation and skills activities.
Working with School and Faculty facilitators in the University's core strategic areas of Commercial Engagement, Education for Life and Research for Impact & Discovery, and School academics, the role will provide a flexible resource, delivering commercial consulting, skills and continuing professional development (CPD) training and commercial research. The role will help enable timely grant applications, such as for Knowledge Transfer Partnerships (KTPs) and Industrial PhDs.

The role is at Research Assistant / Associate level, based within NU Solve in the School of Mathematics, Statistics & Physics.

You will work on commercial consultancy, skills and CPD, commercial research and student projects, working with and under direct academic and NU Solve manager supervision.

This is a fixed term position, available immediately and tenable for 24 months initially, with the view to extend. We would be happy to discuss arrangements for flexible and/or blended working. The successful application should have flexibility to travel as required, including overnight stays.

For all informal enquiries, please contact Matt Linsley (matthew.linsley@newcastle.ac.uk) or Kevin Wilson (kevin.wilson@newcastle.ac.uk)

To apply, please complete the online application and attach a CV and covering letter. In your covering letter, please outline how you are either working towards, meet or exceed all the essential requirements for the role holder as outlined below, and highlight any expertise relevant to the described project.

For more information about NU Solve and our work, please click here.

For more information about the School of Mathematics, Statistics and Physics, please click here.

Key Accountabilities

• Work on a diverse range of external data science projects with industry, business & government partners
• Deliver consulting, skills and continuing professional development (CPD) training and applied research projects
• Through data-driven projects, help develop closer partnerships with businesses, industry and external agencies, broadening the scope of activity for the School of MSP in the areas of data science, machine learning, statistics and generative AI
• Work with School and Faculty facilitators in the University’s core strategic areas of Commercial Engagement, Education for Life and Research for Impact & Discovery, and School academics

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