Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Research Fellow (Training Fellow in Theoretical Neuroscience)

UCL Eastman Dental Institute
London
7 months ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Research Fellow in Health Economics / Health Data Science

Research Assistant / Research Fellow in Epidemiology/Data Science

Postdoctoral Research Fellow in Health Economics / Health Data Science

Postdoctoral Data Scientist Engineer for the Quantitative Neuroradiology Initiative

Research Assistant In AI & Machine Learning

Research Scientist, Machine Learning (PhD)

About the role

We are now inviting applications for a post-doctoral training Fellowship under the guidance of Dr Agostina Palmigiano, focussed ondeveloping theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations.

You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media.

This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period. 

A job description and person specification can be accessed at the bottom of this page.

About you

You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position.

To apply, please click Apply Now and submit your CV and in the Attachments section (Research Paper 1) a statement covering research accomplishments and the names of 2 referees. There is no requirement to upload any papers you have authored. Academic enquiries about the role should be directed to Agostina Palmigiano ().

Applications will be reviewed on a rolling basis until the position is filled. Early applications are strongly encouraged, as this ensures they will receive full consideration. 

What we offer

The Gatsby Unit offers competitive salaries and an award-winning work environment. You will work in a vibrant, interactive and collaborative environment, with world-class PhD programmes, generous core funding and travel allowances. Our facilities include an on-site high-performance computer platform, an extensive seminar programme and interaction space, an on-site brasserie, and outdoor spaces. Our staff are entitled to UCL's extensive range of staff benefits, including a generous annual leave entitlement, family-friendly policies, occupational pension schemes, relocation and housing assistance (where applicable) and professional development opportunities.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.