Fellowship
A career at the cutting edge of AI
Introduction
Make your next step go further, faster.
With Faculty’s Fellowship programme, your future in AI is supercharged in a matter of weeks. The Faculty Fellowship gives some of the most promising STEM PhD and master’s graduates, and postdoctoral researchers the skills and hands-on experience they need to grow their careers, moving from work in academia into AI.
Across short-term, fully funded placements in London, UK, successful applicants will receive intensive training in both technical and commercial skills, and work on AI projects that have the power to have real impact.
Applications for our October fellowship are now closed. Sign up to our interest list to be notified when we open applications for our next cohort.
Three types of fellowship
Data Scientist
Equipping fellows with the practical skills and experience needed to transition from academia to the field of data science and AI. This eight-week programme begins with two weeks of intensive, expert-led training, followed by seven weeks dedicated to hands-on work on a client project, where fellows learn to develop models and algorithms tailored to solving real-world business challenges.
Machine Learning Engineer
A pathway for early-career engineers to transition to impactful careers in machine learning and AI. This programme focuses on hands-on learning for the production, deployment, and maintenance of AI systems. It begins with 2 weeks of intensive training followed by seven weeks of working on a real business problem with a client.
Product Associate
Designed for aspiring technical non-coders, this programme teaches the foundational AI skills to commission, manage and appraise AI projects. It begins with two weeks of intensive training followed by a five-week strategy project with Faculty’s industry partners.
our programme
Experts are built from experience
The Faculty Fellowship begins with a two-week intensive course. Spearheaded by industry experts, you’ll have access to our cutting-edge data science tools and best practices. You’ll then apply them in practice, in a seven-week placement with one of our host companies.
The course in a nutshell
The Faculty Fellowship has been recognised as an outstanding training and skills development programme with the Princess Royal Training Awards standard of excellence. Read more
The Faculty Fellowship has been recognised as an outstanding training and skills development programme with the Princess Royal Training Awards standard of excellence. Read more
With dedicated training sessions in data science, engineering and ‘soft’ business skills, we make sure that you hit the ground running in your next role.
You’ll be mentored by the best minds in data science, a team that regularly deploys cutting-edge AI, from counter-terrorism to helping the NHS save lives.
In just two months, you’ll have delivered a data science project, whether for an established firm or a sparky start-up – and have been paid for it.
At the end of the placement, you’ll get the chance to present what you’ve achieved to industry experts at one of the biggest events in the Faculty’s calendar: Demo Day.
Fellows Stories
What sets us apart is the opportunity we unlock
We provide a unique blend of intensive technical and commercial training combined with hands-on experience. Our fully-funded placements empower the most promising PhD, master's graduates, and postdoctoral researchers to transition from academia to impactful careers in AI.
The Process
We don’t have any specific entry requirements for the Faculty Fellowship. But we mainly look for PhD and master’s graduates, and post-doctoral researchers with some experience of programming, theoretical concepts of statistical learning and a high level of mathematical competence.
We don’t have any specific entry requirements for the Faculty Fellowship. But we mainly look for PhD and master’s graduates, and post-doctoral researchers with some experience of programming, theoretical concepts of statistical learning and a high level of mathematical competence.
After the completion of the initial application review, qualified applicants will be invited to participate in a coding test.
Those that have passed the coding test will be invited to an interview with someone from our team, which is the final stage of the process before we offer places on the fellowship.
What being a fellow brings
Start Strong
With our fully-funded placements
Bond with the Best
The chance to connect and work with the best in data science
Exclusive Insights
Go behind the scenes of Europe’s leading AI company
A New Network
Connect with contacts from your host company
Fellowship
Unlock your opportunity today
Get answers to frequently asked questions about the Fellowship
FAQs
The programme is primarily in-person, so if you’re unable to commute daily into London, you’d need to relocate. We’re also not able to provide accommodation, so you’ll need to organise somewhere to stay, which will be worth considering before applying and/or accepting a place on the programme. In the past, fellows have moved from across the UK and internationally – it’s definitely doable, especially if you have friends or family nearby, or experience finding a place to live in London.
