Job Role: Project Coordinator
Duration: This role will last until March 2020
This job is part-funded by the ERDF.
We are London’s start-up experts, connecting and energising a world-class entrepreneurship ecosystem. We are a body of connectors, influencers, investors and policy-makers, collaborating to super-charge London’s start-up scene. We exist to support entrepreneurs and businesses in London. We are mission-driven and a not-for profit organisation owned by, and run for the benefit of, members.
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 prestart and trading entrepreneurs and small businesses in all 33 London Boroughs.
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 Project Coordinator is to find and match Small and Medium Enterprises (SMEs) with our research institution partner 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 and processes to introduce to the company and market. In this role you will:
- Source and engage with potential eligible SMEs throughout the duration of the CAP-AI programme
- Assess the eligibility of the SMEs and their needs as a business to benefit from participating in a research collaboration
- Register eligible SMEs onto the programme and guide them through the research collaboration process
- Working with CAP-AI SMEs to scope long term (3+ months) R&D projects with research institutions
- Source and match CAP-AI SMEs with the most suitable candidate to fulfil their R&D project criteria and induct the candidate into the SME.
- Maintain a relationship with all CAP-AI SMEs and their candidates throughout the R&D duration, giving expert advice and supervision
- Ensure collaborations agreements are in place between the SMEs and our research institution partner
- Achieve outputs set by the project for number of collaborations and new products, services and processes
- 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
- 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
- MSc & Post MSc level in a relevant area
- 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.
You will be entitled to 20 working days annual leave plus bank holidays per annum, as well as additional time off between Christmas and New Year.
How to Apply
To apply for the vacancy send a CV and a cover letter to Lizzy@capitalenterprise.org
The closing date for applications is 17:00 on Friday 5th April 2019