Part of the Data-Driven Enterprise programme, Digitech Work Placements will give University of Edinburgh PhD students the chance to gain experience and insight into what it’s like working in an entrepreneurial organisation. Financed by the Scottish Funding Council and DDI, the paid Digitech Work Placements will allow PhD students to develop their employability and research skills as they work to solve real-world industry and business problems and contribute to society’s recovery following Covid-19.
This project is led by The Data Lab Innovation Centre, in collaboration with the Bayes Education team and in partnership with Edinburgh Innovations. The Data Lab will work closely with students to ensure their placements are matched to a project that is relevant to their PhD research area and interests.
A Digitech Work Placement offers a whole range of exciting benefits!
Successful applicants will:
You can apply for a Digitech Work Placement if you are a University of Edinburgh PhD student conducting your research within one of the DDI Hubs (Bayes, Easter Bush, EFI, Usher, or EIDF). Students must also have the right to work in the UK. If in Scotland on a visa, students must consider any restrictions or limitations this might place on their availability to work.
Please get in touch with Cheryl Stewart, the Programme Manager at The Data Lab, to find out more.
Applications are open now and have a closing date of Monday 9th May at 5pm when the matching process begins. Placements take place between May and end of July 2022.
Projects will be a maximum of 10 days (70 hours) in duration and may be undertaken on a continuous or intermittent basis by mutual agreement between the student and host organisation. Placements must be completed within an 8 week period.
All students applying to the programme will be offered employability skills training including a 1-2-1 CV review, interview skills and imposter training workshops.
If you are an organisation who would like to host a student undertaking a placement please get in touch with Cheryl Stewart, Programme Coordinator at The Data Lab, to enquire about the possibility.