
Applied Skills Science Team Support
- London
- £22.09 per hour
- Contract
- Full-time
- Give academic feedback on prospective DSG challenges, specifically from a participant and facilitator point of view
- Support the Applied Skills business team and DSG PIs in scoping DSG challenges – joining meetings and giving directions of DSG challenges
- General advising for the various scientific and recruitment aspects of Applied Skills programmes – science projects, participants applications, advising PIs
- Assess DSG and TIN participant applications during the selection process, using Flexigrant and attending tensioning meetings
- During a DSG, support the facilitators and participants – troubleshoot, advise and guide facilitators throughout the process during difficult situations or with underperforming groups to ensure their success
- Give academic feedback on the final DSG reports (during the event and at the end) to the PI – providing quality assurance for DSG reports before they are published
- Work with the business team to amplify calls for participants to Applied Skills calls within their own institution and nearby
- Be a facilitator backstop in emergency
- Attend ad hoc one-off events throughout the year talking about DSG.
- Potentially help with corrections on final reports
- Input into the continuous development of the DSG event
- Review and test course materials and use cases
- Working towards a PhD (or equivalent experience and/or qualifications) in a data science related field - include Statistics, Mathematics, Engineering, Computer Science, or related discipline
- Fluency in one or more modern programming languages used in research in data science and artificial intelligence(e.g. Python)
- Interested in a wide range of data science and AI techniques.
- Experience with messy real world data.
- Peer reviewing academic papers.
- Designing academic studies and experiments (Taking industrial problems and turning them into academic investigations).
- Ability to rapidly assess industrial/commercial problems and come up with possible ideas and techniques in how to solve them.
- Working towards a PhD (or equivalent experience and/or qualifications)
- Fluency in one or more modern programming languages
- Interested in a wide range of data science and AI techniques.
- Peer reviewing academic papers.
- Participated in a data study group (or equivalent organised hackathons)