Machine Learning KTP Associate

£36,000 - £36,000

Leiston, Suffolk - 18 months

Apply Now

Job description

The University of Essex in partnership with Soil Moisture Sense offers an exciting opportunity to apply intelligent automation to soil moisture data analysis, decision support and system maintenance prediction using the latest techniques in machine learning and data science.

This post is fixed term for 18 months and is based at Soil Moisture Sense offices in Leiston, Suffolk. The headquarters are located in a beautiful, but quite remote area. You should consider how you are planning to work from the premises before making an application.

Please note that the first stages of this project have already been completed. The project is currently in the planning and implementation stages of the lifecycle, hence its relatively short duration. Should the project be completed successfully, it is the intention of the host company to hire the recruited KTP Associate as a permanent member of the team.

DUTIES OF THE POST

The duties of the post will include:

– Understanding the structure of Soil Moisture Sense and available software/hardware tools.
– Performing data collection and pre-processing using signal processing techniques.
– Designing an AI based predictive model for soil moisture monitoring using machine learning methodologies.
– Investigating decision support systems and machine learning approaches suitable for crop and weather monitoring.
– Embed technology and upskilling company staff.
– Participate in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.
– Work towards the publication of peer-reviewed articles in high impact Journals in collaboration with academics at the University of Essex.

Project description

To apply intelligent automation to soil moisture data analysis, decision support and system maintenance prediction using the latest techniques in machine learning and data science.

About the business

Support activities for crop production

Computer Science, IT Systems, Food Production

Machine Learning, Computer Science

Master’s in computer science, Data Science, Mathematics or a related discipline or equivalent industry experience

30 April 2024

27 May 2024

3 June 2024

REQ08469


The University of Essex in partnership with Soil Moisture Sense offers an exciting opportunity to apply intelligent automation to soil moisture data analysis, decision support and system maintenance prediction using the latest techniques in machine learning and data science.

This post is fixed term for 18 months and is based at Soil Moisture Sense offices in Leiston, Suffolk. The headquarters are located in a beautiful, but quite remote area. You should consider how you are planning to work from the premises before making an application.

Please note that the first stages of this project have already been completed. The project is currently in the planning and implementation stages of the lifecycle, hence its relatively short duration. Should the project be completed successfully, it is the intention of the host company to hire the recruited KTP Associate as a permanent member of the team.

DUTIES OF THE POST

The duties of the post will include:

– Understanding the structure of Soil Moisture Sense and available software/hardware tools.
– Performing data collection and pre-processing using signal processing techniques.
– Designing an AI based predictive model for soil moisture monitoring using machine learning methodologies.
– Investigating decision support systems and machine learning approaches suitable for crop and weather monitoring.
– Embed technology and upskilling company staff.
– Participate in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.
– Work towards the publication of peer-reviewed articles in high impact Journals in collaboration with academics at the University of Essex.