Operational Research Scientist Ref 9662

School/department: School of Life Sciences
Hours: Full time hours considered up to 1 FTE.
Requests for flexible working options will be considered (subject to business need).
Contract: fixed term until 28 February 2024
Reference: 9662
Salary: starting at £36,386 to £40,931 per annum, pro rata if part time
Placed on: 01 September 2022
Closing date: 20 October 2022. Applications must be received by midnight of the closing date.
Expected Interview date: TBC
Expected start date: 01 October 2022


Job description

A position for an Operational Research Scientist is available jointly in the laboratories of Leon Lagnado and Tom Baden, funded by the Wellcome Trust.  The general aim of the projects are to understand the circuit mechanisms underlying visual processing.  The post-holder will be responsible for i) modelling and mathematical and statistical analysis of data produced by our research in experimental neuroscience, and ii) the development of advanced optical microscopes for observing and manipulating neural activity, such as a two-photon scanning microscope combining holographic stimulation and a two-photon Bessel beam selective plane illumination microscope. 

We are very active research groups (https://lagnadolab.com; https://badenlab.org) embedded in a strong research culture (http://www.sussex.ac.uk/sussexneuroscience/). We are located in the vibrant city of Brighton and London is 1 hour away.

Applicants must be educated to at least Masters level in an Engineering or Applied Physics discipline.  They should have a background in data science and/or software development using Matlab and/or Python. Experience in optical characterization methods (photometry, reflectometry, spectroscopy) will be advantageous, as would some background in computational neuroscience. 

Informal enquiries can be made to Leon Lagnado (l.lagnado@sussex.ac.uk) or Tom Baden (t.baden@sussex.ac.uk).

The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

Please note that this position may be subject to ATAS clearance if you require visa sponsorship.

The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.

You can find out more about our values and our EDI Strategy,  Inclusive Sussex, on our webpages.

Download job description and person specification Ref 9662 [PDF 183.27KB]

The University requires that work undertaken for the University is performed from the UK. 

Visa Sponsorship Queries:

 This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time. Please consult our Skilled Worker Visa information page  for further information about Visa Sponsorship.


How to apply

Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.

Email your completed application, and personal details and equal opportunities form, to lifescirecruitment@sussex.ac.uk  

You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.

You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.


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