Back to search results

Lecturer/Senior Lecturer/Reader/Professor in Animal Sensing Biometrics

University of Bristol - Bristol Veterinary School

Location: Bristol
Salary: £43,267 to £58,089 Per annum
Hours: Full Time
Contract Type: Permanent
Placed On: 14th May 2019
Closes: 3rd July 2019
Job Ref: ACAD103936

Salary: Grade K (Lecturer): £43,267- £48,677 per annum. Grade L (Senior Lecturer): £51,630 - £58,089 per annum. Grade L (Reader): £51,630 - £58,089 per annum. Grade M (Professor) competitive salary, subject to negotiation.

As part of an exciting new initiative we are seeking to recruit a research-active academic staff member to a joint post between Bristol Veterinary School and the SPHERE Interdisciplinary Research Collaboration, a critical mass of researchers developing sensors and sensor informatics for applications in human healthcare and wellbeing at the School of Computer Science, Electrical and Electronic Engineering, and Engineering Maths, University of Bristol.

This post is one of three new academic positions focused on Bristol Veterinary Schools’ new highly instrumented facilities, the John Oldacre Centre for Sustainability and Welfare in Dairy Production and the Centre of Innovation Excellence in Livestock (CIEL) Poultry Facility. These new research facilities offer intense monitoring platforms capturing individual movements, activities, behaviours and interactions of the animals together with detailed individualised measurement of emissions, production and health interventions, fine-grained monitoring of the environment and automatic feed bins for sub-group nutrition trials. Our fundamental aim is to create and sustain intensively monitored birth cohorts in order to tackle grand research challenges in animal health and welfare, global food security, disease and anti-microbial resistance dynamics, as well as facilitate translation of sensor technologies and sensor informatics to the human sphere. The platform represents a clear opportunity for the development, training, testing and validation of sensors, precision farming technologies, farming innovation, smart management systems and data science integration methodologies against our real-time ‘reference’ monitoring setup, integrated across all captured data types, on a fully accessible cohort and supported by multi-disciplinary University of Bristol expertise.

You will be an applied engineer or computer scientist eager to develop their research programme on applied sensor and/or sensor data fusion methodology development for animal sensing and biometrics. You will have a strong track record of publication and grant funding success and will be expected to develop and consolidate a research group, forge collaborations with colleagues in Bristol Veterinary School, the wider University, and externally, teach on undergraduate and taught postgraduate courses, and supervise postgraduate research students.

Appointment will be at Lecturer, Senior Lecturer, Reader or Professor. Please refer to the relevant job descriptions for further information.

You will be based at Bristol Veterinary School on the University of Bristol’s Langford campus, within the Faculty of Health Sciences.

Informal enquiries can be made to Professor Richard Hammond, Head of School, Bristol Veterinary School, Tel: 0117 928 9638, email: hos-svs@bristol.ac.uk

We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.

   
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from University of Bristol

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge