Post-Doctoral Research Associate in Data Science and Machine Learning

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Lincoln Institute for Agri-Food Technology
Location:  

Lincoln

Salary:  

From £37,099 per annum

Please note, this post is fixed term for 24 months, and full time at 1.0 FTE.

Closing Date:  

Sunday 28 January 2024

Interview Date:  

Thursday 08 February 2024

Reference:  

CHS049A

The Institute for Agri-Food Technology at the University of Lincoln has an opportunity for a Post-Doctoral Research Associate to work within a multi-disciplinary team towards an exciting project, together with the industry, to develop a mushroom picking robot. You will need to have a strong academic computer science or engineering background in any of the following areas: machine learning/data analysis/mathematic modelling, computer vision.

Holding a PhD is desirable and you must be able to demonstrate an excellent track record in machine learning and data mining, mathematic modelling, image analysis. You will need to have strong mathematical and programming skills (e.g. Python, C/C++, Matlab) and be able to work on group software projects using modern tools and environments (e.g. github, Ubuntu, Pytorch/Tensorflow). Specific interest in sustainable agri-food production is desirable, but experience in this domain is not required.  

You will be expected to design, develop, and validate predictive machine learning models to forecast mushroom yields based on historical and real-time data, and mushroom pose estimation systems. You will oversee the collection, pre-processing, and management of large datasets related to mushroom cultivation, including environmental parameters, growth rates, and other relevant factors, and collaborate closely with mycologists, computer vision and machine learning scientists, and other stakeholders to understand domain-specific challenges and integrate this knowledge into the machine learning models.

Evidence of authorship of research outputs of international standing is essential, as is the ability to work collaboratively as part of a team, including excellent written and spoken communication skills.

If you would like further information or an informal discussion about this opportunity, please contact Dr Junfeng Gao, Lecturer in Agri-Robotics, at [email protected] .

Further details:

You can find out more about working at Lincoln, and everything that we have to offer, at: 

https://www.lincoln.ac.uk/jobopportunities/

We strive for a diverse workforce with the very best employees and are committed to creating an inclusive environment for all. The University encourages applications from underrepresented groups inclusive of Black, Asian and other minoritised/marginalised ethnic groups, all gender identities and expressions from the LGBTQIA+ community, candidates with a disability, and those that practise different faiths and beliefs, to enhance our One Community where we strive to be kind, patient, and supportive of each other.

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