Research Assistant/Associate for Head-mounted Wearable Sensing (Fixed Term)

Fixed-term: The funds for this post are available for 2 years, with potential extension possible.

We are seeking a Postdoctoral Research Associate in the general area of wearable sensing systems for the ear and the head, wearable signal processing and sensing data machine learning to join the Mobile Systems Research Laboratory at the University of Cambridge.

The main responsibilities for this position are to innovate on wearable sensing for the head, devise new machine learning paradigms for robust in-the-wild analytics targeting health and fitness applications with special emphasis of translating the research into practice. We are seeking candidates with a background in wearable and (bio)sensing systems, possibly with experience in advanced wearable sensor data machine learning.

Requirements

Candidates should have been awarded a PhD and a strong publication record in wearable sensing systems with specific focus on the head. Experience with current sensor data machine learning modelling also very appreciated. The ideal candidates should also have excellent programming skills. Good communication, presentation and management skills are also desirable given the size of the team. Experience in industry and industrial research also welcome.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a worldwide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department.

In addition to the base salary stated above, the successful candidate for this post will receive an additional 2.5% supplement to their pay.

Applicants should contact Prof Cecilia Mascolo for further information. http://cl.cam.ac.uk/~cm542

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

Please ensure you upload a covering letter, a curriculum vitae, a brief research statement, two key publications and contact information of at least 2 referees. 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 NR47578 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.

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