Fixed Term: Funds for this position are available for two years, with the possibility of extension.

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

The main responsibilities of this position are to innovate in the field of head wearable sensing, devise new machine learning models to perform powerful real-world analytics targeting health and fitness applications with a special focus on translating research into practice. We are looking for candidates with a background in wearable sensing and (bio)sensing systems, and possibly with experience in advanced machine learning of wearable sensing data.

requirements

Candidates should have a PhD and a strong publication record in wearable sensing systems with a specific focus on the head. Experience in machine learning modeling of existing sensor data is also highly appreciated. 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 is also welcome.

Appointment to the Research Associate level is based on the attainment of a doctoral degree. Those who have applied but have not yet received a doctorate will be appointed at the research assistant level, which will be modified to research associate once the doctorate is awarded.

The Department of Computer Science and Technology is an academic department that includes computer science along with many aspects of engineering, technology, and mathematics. We have a global reputation for academic research with consistent top research rankings. The department has an open and collaborative culture, supporting revolutionary basic computer science research, strong and comprehensive collaboration internally and externally, and ideas that transform computing beyond the university. Please follow the link at: https://www.cst.cam.ac.uk To learn more about our department.

In addition to the basic salary mentioned above, the successful candidate for this position will receive an additional 2.5% addition to their salary.

Applicants should contact Professor 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 haven’t already) and apply online.

Please be sure to upload a cover letter, CV, brief research statement, two major publications, and contact information for at least two referees. If you upload any additional documents, which are not requested, we will not be able to consider them as part of your application.

Please quote reference NR47578 in 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.

It is the University’s responsibility to ensure that all staff are eligible to live and work in the UK.