Research Assistant / Associate in Photonic Machine Vision

The Imperial jobs site will be temporarily unavailable from 16.00pm Friday 23rd February to 12.00pm Wednesday 28th February as we move to a new Job site platform. 
We will not be accepting applications or advertising vacancies during this period.
Applications started, not yet submitted by 16:00 23rd February will need to be started again on the new platform.
For further information and how to submit an application or set up job alerts again please visit our FAQs for new job site platform transition

Please note the URL (https://www.imperial.ac.uk/jobs/ ) will be the same.

The post is funded by the DT Prime and EPSRC Impact Acceleration Account to develop a photonic machine vision platform.

At Research Associate level: To carry out research programmes in photonic neuromorphic machine vision, undertake project management and/or supervise multi-disciplinary teams. The Research Associate will be expected to submit publications to refereed journals and to attract external research funding.

Main Duties:

• Characterisation of photonic networks to identify and develop suitable techniques, and apparatus, for the collection and analysis of data.
• Develop high-throughput photonic machine vision platforms.
• Assist with the analysis of data.
• Ensure the validity and reliability of data at all times.
• Maintain accurate and complete records of all findings.
• Assist with the writing of reports to research sponsors.
• Present findings to colleagues.
• Provide advice to other staff and students.
• Assist with the publication of findings.
• Attend relevant workshops and conferences as necessary.
• Develop contacts within the College and the wider community.
• Promote the reputation of the Group, the Department and the College.

At Research Associate level: Hold a PhD (or equivalent) in photonic networks or a closely related discipline.

At Research Assistant level: A masters degree (or equivalent) in in photonic networks or a closely related discipline.

Experience & Knowledge:

• Practical experience within a research environment and / or publication in relevant and refereed journals commensurate with career stage.
• Experience with machine vision.
• Practical experience in a broad range of techniques including building optical setups, controlling lab equipment remotely and coding machine learning.
• Knowledge of photonic networks.
• Knowledge of research methods and statistical procedures.
• Knowledge of machine vision.

Skills & Abilities:

• Ability to conduct a detailed review of recent literature.
• Ability to develop and apply new concepts.
• Creative approach to problem-solving

*Candidates who have not yet been officially awarded their PhD will be a appointed as a Research Assistant, within the salary range £40,694 and £43,888 per annum.

For technical issues when applying online please email [email protected] .

For further administrative enquiries please contact Miss Beth Mountford - [email protected] .

For further information about the post please contact Dr Jack Carter-Gartside - [email protected] .

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA),which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.Find out more about animal research at Imperial .

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion .