Location: | Cambridge |
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Salary: | £29,605 to £44,263 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 23rd August 2024 |
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Closes: | 5th September 2024 |
Job Ref: | MA43014 |
Fixed-term: The funds for this post are available for 1 year in the first instance.
Applications are invited for a post-doctoral research associate to join Dr Jenny Zhang's team at the Department of Chemistry on a project aimed at accelerating 3D bioelectrode design.
The successful applicant will employ machine-learning guided approaches, including Bayesian optimisation, to aid the development of 3D electrodes. They will be expected to work in multi-disciplinary teams, in particular, they will work closely with experimentalists to guide their experiments.
Applicants should have (or be about to obtain) a PhD in chemistry, materials science, physics or related disciplines. It is essential that the applicant can demonstrate expertise in statistical analytical methods, with experience in bioelectrochemistry, biofilm physiology or theoretical modelling desirable. The candidate will gain experience in using a range of machine learning guided analytical methods, as well as personal development and leadership skills.
To apply online for this vacancy and to view further information about the role, please click the 'Apply' button, above.
Please ensure that you upload your Curriculum Vitae (CV), a covering letter and publications list in the Upload section of the online application. If you upload any additional documents that have not been requested, we will not be able to consider these as part of your application.
For queries relating to your application or the application process, please contact Jenny Zhang via email on jz366@cam.ac.uk
Please quote reference MA43014 on your application and in any correspondence about this vacancy.
The Department holds an Athena SWAN silver award for women in Science, Technology, Engineering, Mathematics, and Medicine.
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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