Post Doctoral Research Associate
| Posting date: | 02 June 2025 |
|---|---|
| Salary: | £38,249 to £45,413 per year |
| Hours: | Full time |
| Closing date: | 02 July 2025 |
| Location: | B47ET |
| Remote working: | On-site only |
| Company: | Aston University |
| Job type: | Temporary |
| Job reference: | 0295-25 |
Summary
We are seeking a highly motivated and mathematically skilled Postdoctoral Research Associate (PDRA) to join Aston University’s interdisciplinary team within the recently established UK Multidisciplinary Centre for Neuromorphic Computing.
The revolutionary project will see scientists use human brain stem cell clusters (organoids) on microchip arrays to push the boundaries of neuromorphic capabilities by harnessing the unrivalled power and adaptability of human brain neurons. This Research Associate position will support the project by inferring the processes that take place within a cortical organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling tools.
As the successful candidate you will focus on developing theoretical models and inference tools to understand dynamic processes within and between cortical organoids. This involves integrating techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data.
You will contribute to method development, simulation and validation in close collaboration with experimental partners.
Key Responsibilities:
- Carry out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context of the project.
- Apply established techniques and develop new methods inspired by Bayesian methods and statistical physics methodology for understanding the emergence of structure within cortical organoids and their dynamics. This will be carried out on a highly noisy incomplete data, posing a significant theoretical and computational challenge.
- Validate the developed methods in simulations and in real neuronal devices to evaluate their efficacy and suitability.
- Disseminate research through journals, conferences, and workshops.
- Engage in student supervision and mentoring.
For informal enquiries about this position, you can contact Prof David Saad (d.saad@aston.ac.uk) please cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk)
This role is likely to meet the criteria for endorsement under the ‘Endorsed Funder’ route of the Global Talent visa. The Global Talent visa route is available for talented and promising academics, researchers and specialists who are working in the fields of science, engineering, medicine, the social sciences or the humanities. Please see the published Home Office guidance: https://www.gov.uk/global-talent
The revolutionary project will see scientists use human brain stem cell clusters (organoids) on microchip arrays to push the boundaries of neuromorphic capabilities by harnessing the unrivalled power and adaptability of human brain neurons. This Research Associate position will support the project by inferring the processes that take place within a cortical organoid and across organoids, enhancing our theoretical understanding of the emerging information content within the single organoid and across the array, through the development of analytical and modelling tools.
As the successful candidate you will focus on developing theoretical models and inference tools to understand dynamic processes within and between cortical organoids. This involves integrating techniques from statistical physics, Bayesian inference, and complex systems theory to address challenges posed by noisy and incomplete data.
You will contribute to method development, simulation and validation in close collaboration with experimental partners.
Key Responsibilities:
- Carry out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context of the project.
- Apply established techniques and develop new methods inspired by Bayesian methods and statistical physics methodology for understanding the emergence of structure within cortical organoids and their dynamics. This will be carried out on a highly noisy incomplete data, posing a significant theoretical and computational challenge.
- Validate the developed methods in simulations and in real neuronal devices to evaluate their efficacy and suitability.
- Disseminate research through journals, conferences, and workshops.
- Engage in student supervision and mentoring.
For informal enquiries about this position, you can contact Prof David Saad (d.saad@aston.ac.uk) please cc in Nataliia Manuilovich (n.manuilovich@aston.ac.uk)
This role is likely to meet the criteria for endorsement under the ‘Endorsed Funder’ route of the Global Talent visa. The Global Talent visa route is available for talented and promising academics, researchers and specialists who are working in the fields of science, engineering, medicine, the social sciences or the humanities. Please see the published Home Office guidance: https://www.gov.uk/global-talent
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