Job Role: Research Collaboration Co-ordinator
This job is part-funded by the ERDF.
Capital Enterprise is the membership organisation for providers of enterprise support services in London. Capital Enterprise’s prime mission is to support its members to individually and collectively acquire the means and expertise to better support their clients – London’s Entrepreneurs.
Our network of London’s leading universities, accelerators, co-working spaces, colleges, local authorities, enterprise support organisations, is a community of organisations committed to making London the best place in Europe to start and scale a business.
Capital Enterprise and its members provide a wide range of support services including advice, training, mentoring, accelerator programmes, specialist technical expertise, networking, soft loan finance and incubator accommodation to both pre-start and trading entrepreneurs and small businesses in all 33 London Boroughs.
We are a not-for profit organisation owned by, and run for the benefit of, members. Capital Enterprise is funded through members subscriptions, third party sponsorship and by income received from public/private sector partners to develop, pilot and manage innovative programmes that support enterprises and entrepreneurs in London.
CAP-AI Programme Summary
The overall aim of the CAP-AI project is to help AI and Machine Learning SMEs to access the technical expertise, data and computation power, knowledge and innovation they need to survive and grow. There are 2 interlinked areas of activity:
- Knowledge exchange brokerage to enable SMEs to tap into specialist AI and Machine Learning knowledge, research and talent coming out of London’s universities;
- Innovation brokerage to enable SMEs to access high performance computing power through a Machine Learning Computation Lab and to engage in innovation activity bringing together corporates, industry, academics and SMEs.
Although a Capital Enterprise employee, you will be working directly with one of our research institution partners on CAP-AI.
Roles and Responsibilities
The main role of the Research Collaboration Co-ordinator is to find and match enterprises and research institutions to complete long-term research collaborations. The aim of these collaborations is to bring business and academia/research together in order to develop new products/services to introduce to the market and the enterprise. In this role you will:
- Source and engage with potential eligible enterprises throughout the duration of the CAP-AI programme
- Assess the eligibility of the enterprises and their needs as a business to benefit from participating in a research collaboration
- Register eligible enterprises onto the programme and guide them through the research collaboration process
- Working with CAP-AI enterprises to scope long term (3+ months) R&D projects with research institutions
- Source and match CAP-AI enterprises with the most suitable candidate to fulfil their R&D project criteria
- Maintain a relationship with all CAP-AI enterprises and their candidates throughout the R&D duration, giving expert advice and supervision
- Achieving outputs set by the project for number of collaborations and new products/services
- Monitor the delivery of the project and assess impact
- Work with all relevant partners of the research collaboration to compile success stories and case studies
- MSc & Post MSc level in a relevant area
- Knowledge & interest in AI and Machine Learning
- Highly numerate and analytical
- Exceptional and proven writing and communication skills
- Take charge and deliver on your own; be proactive and independent
- Previous Work in AI
- Experience in supporting innovation focused businesses
Salary will be £35-40k per annum depending on experience
Salary will be paid in monthly instalments
Appointments are subject to receipt of satisfactory references and a probationary period of 9 months.
Annual leave is 20 working days for a full time member of staff in addition to Bank Holidays per year
How to Apply
To apply for the vacancy send a CV and a cover letter to firstname.lastname@example.org
The closing date for applications is Friday 23rd March 2018.