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ENGINEERING SCIENCE

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Postdoctoral Research Assistant in BioSensing

Salary

Standard Grade 7: £36,024 - £44,263 per annum

Closing date

Sep 27, 2023 12:00PM

Description

We are seeking a full-time (Postdoctoral Research Assistant in BioSensing)  to join Natural Interaction Lab at the Department of Engineering Science (Headington - Oxford).  The post is funded by BBSRC and is fixed-term for 15 months or until 31st November 2024. 

 

The aim of this project is to demonstrate the system in a relevant operational environment, through verification and validation of the recorded data. This post will focus on hard- and software development with intent sensing being the particular area of interest. You will be responsible for managing verification and validation studies both within a lab and field environment, as well as develop intent sensing algorithms using deep learning techniques.  

 

You should possess research experience in intent sensing and hold (or be near completion) of a PhD/DPhil in Engineering or a comparable field.  Previous experience in human intent sensing research, obtaining ethics for human trials, physiological data collection and algorithm development for applied physiological data. Experience in applying deep learning techniques on behavioural data with excellent communication skills is also required. 

 

Informal enquiries may be addressed to Jeroen Bergmann  (email: jeroen.bergmann@eng.ox.ac.uk)  

 

For more information about working at the Department, see 

www.eng.ox.ac.uk/about/work-with-us/ 

 

Only online applications received before midday on 27th September 2023 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application. 

 

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. 

Additional actions - keywords 


Intent sensing, biosensensors, body sensor networks, deep learning, physiological data



Contact name

Professor Jeroen Bergmann

Contact email

jeroen.bergmann@eng.ox.ac.uk

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