Postgraduate research opportunities Brain-wide multimodal interrogation of Alzheimer’s disease pathology
ApplyKey facts
- Opens: Friday 24 January 2025
- Deadline: Sunday 2 March 2025
- Number of places: 1
- Duration: 36 months
- Funding: Home fee, Stipend
Overview
A fully funded 3-year PhD studentship is available to work with Prof Shuzo Sakata at the University of Strathclyde in Glasgow, UK. In this PhD project, we aim to explore how Alzheimer’s disease (AD) pathology impacts state-dependent and cell-type-specific brain activity and investigate the potential of neuromodulation to ameliorate abnormal cell-type-specific dynamics in an AD model.Eligibility
You should hold or expect to obtain an Honours Degree at 2.1 or above (or equivalent) in Neuroscience or a related field. Prior experience with coding (Python or MATLAB) and/or in vivo experimental techniques is advantageous.

Project Details
A fully funded 3-year PhD studentship is available to work with Prof Shuzo Sakata at the University of Strathclyde in Glasgow.
Our group has been investigating state-dependent and cell-type-specific information processing in the brain by employing a diverse array of advanced techniques, including in vivo high-density electrophysiological recording, calcium imaging, optogenetics, chemogenetics and deep learning-based behavioural analysis.
In this PhD project, we aim to explore how Alzheimer’s disease (AD) pathology impacts state-dependent and cell-type-specific brain activity and investigate the potential of neuromodulation to ameliorate abnormal cell-type-specific dynamics in an AD mouse model.
The project comprises two key phases: first, using a multi-fibre array imaging system, we will assess how amyloid pathology alters neuronal and non-neuronal calcium dynamics across multiple brain regions and sleep-wake cycles in an AD mouse model. Second, we will examine the effects of non-invasive neuromodulation techniques on aberrant cell-type-specific calcium dynamics as well as amyloid pathology.
In collaboration with Dr Yashar Moshfeghi from Artificial Intelligence and Data Science, this project will leverage cutting-edge machine learning approaches for data analysis. Additionally, you will be part of the group in the newly launched Centre for Neurotechnology at the University of Strathclyde, fostering interdisciplinary interactions with researchers in systems neuroscience, neurophotonics and AI science.
Funding details
This project is supported by the prestigious Strathclyde John Anderson Research Studentship Scheme. Funding includes full tuition fees at the home fee rate plus an annual stipend at the UKRI rate
Home Students
To be eligible for a fully funded UK home studentship you must:
- Be a UK national or UK/EU dual national or non-UK national with settled status / pre-settled status / indefinite leave to remain / indefinite leave to enter / discretionary leave / EU migrant worker in the UK or non-UK national with a claim for asylum or the family member of such a person, and
- Have ordinary residence in the UK, Channel Islands, Isle of Man or British Overseas Territory, at the Point of Application, and
- Have three years residency in the UK, Channel Islands, Isle of Man, British Overseas Territory or EEA before the relevant date of application unless residency outside of the UK/ EEA has been of a temporary nature only and of a period less than six years
While there is no funding in place for opportunities marked "unfunded", there are lots of different options to help you fund postgraduate research. Visit funding your postgraduate research for links to government grants, research councils funding and more, that could be available.
Supervisors

Primary supervisor: Professor Shuzo Sakata
Secondary supervisor: Dr Yashar Moshfeghi
Apply
In the first instance, please send your application to Professor Shuzo Sakata (shuzo.sakata@strath.ac.uk), including a CV and a cover letter, detailing your motivation for this PhD project, research experience and career aspirations.
Number of places: 1
To read how we process personal data, applicants can review our 'Privacy Notice for Student Applicants and Potential Applicants' on our Privacy notices' web page.