Research Assistant / Associate in Affective Data Analysis and System Integration

University of Cambridge

United Kingdom

Research Assistant £26,715-£30,942 or Research Associate £32,816-£40,322

Fixed-term: The funds for this post are available until 31 January 2022.

A position is available to work on an exciting multi-disciplinary project related to digital transformation in health and care with a starting date of 7 December 2020 (or the earliest thereof). The aspect of the project the applicant will mainly work on relates to (i) integration of the hardware (e.g., dozens of wifi cameras), and software (e.g., trained computer vision and machine learning models for face analysis) components into the overall WorkingAge system while ensuring that these components run in parallel and in near real-time; and (ii) undertaking analysis and mining of the longitudinal affective data acquired from various users as they perform their tasks in their work / home environments. These will be achieved by working with the project team based in Cambridge and collaborating with the other project partners.

Essential requirements: Candidates must have very good programming skills in Python and an interest in hardware and software component integration, ideally for computer vision related applications. They should be open to collaborations and be self-motivated. Appointment at research associate level requires the candidate have a (or be close to completing) a PhD degree in computer science, electronic engineering, mathematics or a closely related discipline, with experience and/or interest in Data Mining, Machine Learning, Parallel Computing and/or Systems Engineering and a good (and relevant) publication record.

Desirable skills: It is desirable that the candidate (i) has experience in programming for parallel computing; and/or (ii) has experience with programming for deep learning, ideally applied to facial analysis

This position can be filled by an appropriate candidate at research assistant or research associate level, depending on relevant qualifications and experience. Appointment at research associate level is dependent on having a PhD (or equivalent experience). Where a PhD has yet to be awarded appointment will initially be made as a research assistant and amended to research associate when the PhD is awarded.

This position is funded through a European Union (EU) Horizon 2020 Grant.

Applicants should contact Dr Hatice Gunes (http://www.cl.cam.ac.uk/~hg410/) for further information.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure you upload your curriculum vitae; a statement of the particular contribution you can make to the project based on your past and current experience and expertise (maximum 500 words); and the track record of publications as a link to your Google Scholar profile. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR24600 on your application and in any correspondence about this vacancy.

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.

Apply online


In your application, please refer to Polytechnicpositions.com

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