PhD in NeuroPhotonics - Understanding complex neural networks using novel optical tools : St Andrews, United Kingdom

Project description
This multidisciplinary project aims at using the novel technique of optical electrophysiology (readout and stimulation of neural activity using only light) to quantify the dynamics and synaptic connectivity in neural networks. It will involve developing new optical electrophysiology techniques and combining them with patch-clamp electrophysiology to establish a novel non-invasive quantitative and highly parallel alternative to traditional electrophysiology.

The student will work under supervision of Dr Maciej Antkowiak (School of Medicine) in collaboration with Dr Gareth Miles (School of Neuroscience and Psychology). This project is focused on development of novel experimental techniques for neurobiology and creates an opportunity to gain wide experience in cutting edge experimental techniques in neurophotonics (fluorescence reporters of neural activity, optogenetics), optics (microscopy, dynamic adaptive optics) as well as “classical” patch clamp electrophysiology, basic molecular biology, and signal analysis. We provide extensive training in all these techniques in a truly exciting and multidisciplinary research environment.

Candidate Profile
Ambitious and adventurous candidates who hold a first or upper-second class degree (or equivalent, e.g. MSc) from a recognised academic institution with background in Biophotonics, Photonics, Neuroscience, BioEngineering, Optical Engineering or similar fields are strongly encouraged to apply for this multidisciplinary project. For this specific project we particularly look for technology-oriented candidates who have an interest in optics, programming and quantitative experimental approaches.

Funding Notes:
The 3.5-year Studentship funded by Wellcome Trust ISSF comprises a yearly tax-free stipend and full tuition fees (UK/EU).
Starting date: Negotiable (ideally ASAP)

Applications and enquiries should be sent directly to Dr Maciej Antkowiak (ma81@st-andrews.ac.uk) as soon as possible