NUSolve Innovation Assistant/Associate in Data Science'
Newcastle University
- Newcastle
- £31,396-33,966 per year
- Contract
- Full-time
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 ( ) or Kevin Wilson ( )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 .For more information about the School of Mathematics, Statistics and Physics, please click .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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