CEMS-149-22 - KTP Associate - Data Scientist Research Associate

University of Kent

United Kingdom

June 28, 2022

Description

View All Vacancies

KTP Associate - Data Scientist Research Associate School of Mathematics, Statistics & Actuarial Science Location: Canterbury

Salary: £35,000 to £40,000 inclusive of KTP supplement Grade: Grade 6 Post Type: Full Time Contract Type: Fixed Term - 12 Months Release Date: Friday 17 June 2022 Closing Date: 23.59 hours BST on Tuesday 28 June 2022 (unless otherwise stated) Interview Date: Friday 08 July 2022 Reference: CEMS-149-22

NatureMetrics is an innovative, science-based, women-led SME that commercialises environmental-DNA-based biodiversity monitoring solutions at scale. They are world leaders in delivering powerful, scalable biodiversity data collected safely and sustainably using environmental DNA. NatureMetrics works to develop end-to-end and automated tools for biodiversity detection in the field, to be used by non-experts.

We are seeking a PhD graduate who will be responsible for the development and integration of new statistical techniques for addressing two challenges associated with biodiversity surveys using environmental DNA: accounting for false negative and false positive readings, and optimising survey design. These techniques will improve the business's decision-support tools for nature conservation and restoration, facilitating access to new markets.

Specifically, the aim of this KTP is to embed new knowledge and capabilities of Bayesian hierarchical statistical models developed by academics at the University of Kent and University College London. These models account for false positive and false negative errors in environmental DNA surveys. Through this KTP, these techniques will be integrated into NatureMetrics' analysis workflows, enabling them to increase confidence levels around the presence/absence or abundance of surveyed biological communities (i.e. collections of species at a site) in downstream products. This will optimise the cost and effort needed to collect and analyse samples.

The Associate will be based at the NatureMetrics' premises in Surrey and will work closely with the support and guidance of Dr Eleni Matechou, University of Kent, and Professor Jim Griffin, University College London. At the end of the fixed term contract, and upon successful completion of the project, there is a possibility that the role could become a permanent full-time position.

As a Research Associate you will:

  • Upscale existing Bayesian hierarchical models developed by the academic team and their adaptation from single to multi-species within an eDNA context over multiple samples.
  • Embed the knowledge from this KTP into the Data Analysis Team to be propagated through the Products and Commercial Teams into new decision- support tools for NatureMetrics' clients
  • Work at the cutting edge of biodiversity monitoring using eDNA surveys and develop a complete modelling and software solution by implementing the new model, algorithm and study design tool in accessible and user-friendly software.
  • Work closely with the Business Development and Products Teams to guarantee that the developed models and corresponding software fit business needs and all new market opportunities developing from this project are fully exploited, especially regarding input to materials to market and communicate products, highlighting needs for clients to invest in enhanced products (WP 3.1).
  • To be successful in this role you will have:

  • A PhD (or equivalent qualification) in statistics, data science, or closely related disciplines that includes substantial development of new statistical methods for ecological data and associated inferential tools
  • Experience in developing new statistical methods for ecological data, and in particular DNA-based survey data, within a Bayesian framework (particularly hierarchical models) and associated MCMC algorithms
  • A recent track record of publication or papers in preparation in leading international journals or conferences of statistical models for ecological data, and especially DNA-based survey data
  • Excellent communication skills to deal with a variety of people at different levels of seniority
  • Leadership attributes and be prepared to take control of all aspects of the KTP project throughout its duration
  • Please see the links below to view the full job description and to apply for this post. If you require further information regarding the application process please contact the HR Team on CEMSHR@kent.ac.uk quoting ref number: CEMS-149-22

    Further details: Job Description Additional Information

    Apply Online

    Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.

    Applications must be made via the University's online application system; CVs or details sent directly to the department or via email cannot be considered.

    The University of Kent values diversity and promotes equality at all levels.

    Due to the current COVID-19 outbreak, interviews may take place remotely.

    Share

    Similar Jobs

    Inria

    France 5 days ago

    Add to favorites Read more...

    Post-Doctoral Research Visit F/M - structure and information quantifiers for new data analysis tools

    2022-05174 - Post-Doctoral Research Visit F/M - structure and information quantifiers for new data analysis tools Fonction : Post-Doctoral Research Visit About the research centre or Inria department optimization, learning and statistical methods. The team...

    University of York

    United Kingdom Jun 18, 2022

    Add to favorites Read more...

    Research Associate

    Role Description Department The position of a Research Associate has become available for up to 12 months Education at the University of York. research project awarded by the Nuffield Foundation to Prof Sophie von Stumm....

    Add to favorites Read more...

    Research Collaborator In Trade Network Analysis

    Trade Network, econometrics, complex networks, machine learning econometrics, complex networks and machine learning with particular reference to the empirical analysis of international trade flows and business microdata. The ideal candidate has mastered econometric analysis and...

    About the employer

    The University of Kent (formerly referred to as the University of Kent at Canterbury) is a well-known semi-collegiate public research university which is based in Kent in the United Kingdom. It was established in the year 1965 and is recognized...