Research Assistant-Research Associate in Neuro-AI (Fixed Term)

Department/Location: Department of Psychology, Central Cambridge

A Research Assistant or Research Associate (post-doc) position in AI and Neuroinformatics is available to work with Prof Zoe Kourtzi (Adaptive Brain Lab, Univ of Cambridge; https://www.abg.psychol.cam.ac.uk) and Prof Eleni Vasilaki (School of Computer Science, Univ of Sheffield). 

The position will focus on developing AI-guided tools for understanding brain functions (e.g. learning and adaptive behaviour) and improving early detection of brain disorders. This position is well-suited for candidates eager to develop and translate theoretical AI models into tools that can: a) help understand brain mechanisms in health and disease, b) be deployed in clinical settings. 

Successful candidates will engage in developing AI models to synthesise and analyse diverse data sets, including brain imaging, genetic, cognitive, and epidemiological data.

The research activity is at the core of a funded programme that brings together multidisciplinary experts in neuroscience, machine learning, clinical practice, clinical informatics with healthcare innovation and pharmaceutical industry partners. 

You will receive multi-disciplinary research training at the interface of machine learning, neuroscience, and clinical translation. You will be integrated in a diverse collaborative team and will have the opportunity to participate in workshops as well as exchange visits across labs to facilitate cross-disciplinary training and collaborative working. You will be member of the AI-deas Hub for brain and mental health (https://www.cam.ac.uk/stories/AI-deas-launch). The Hub fosters collaborations between mathematics, statistics, computer science, medicine and industry aiming to develop analytics tools for brain research and healthcare. 

Desired Skills and Experience: 

• Applicants should have a MRes or PhD (or have submitted by the time of appointment) together with a strong academic track record, in a relevant area: Mathematics, Engineering, Physics, Computer Science, Data Science, Biostatistics, Neuroscience, or Medicine. 
• A strong academic track record and programming skills are essential. 
• Experience with machine learning, data science, computational neuroscience, biostatistics, cognitive or clinical neuroscience are highly desirable 
• Strong mathematical skills, knowledge of recurrent neural networks,  foundation models and a focus on explainable machine learning models, would bring added value to the position. 
• The successful applicant should demonstrate enthusiasm for generating new knowledge, openness to learning new approaches, and ability to contribute to a multidisciplinary team across sectors (academia, healthcare, industry). 

Fixed-term: The funds for this post are available for 18 months in the first instance. 

To apply online for this vacancy and to view further information about the role, please click on the apply button above.

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. 

For informal inquiries, please contact Zoe Kourtzi at zk240@cam.ac.uk 

Closing Date: Sunday 6th April at 12 Midnight 

Interview dates: TBC 

Please quote reference PJ45385 on your application and in any correspondence about this vacancy. 

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. 

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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