Research Associate - London, United Kingdom - University of Essex

University of Essex

Verified Company

London, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations.

The University of Essex in partnership with Pole Star Space Applications Limited offers an exciting opportunity to a graduate with the relevant skills and knowledge to use data science methods to develop an online real-time forecasting algorithm for the location of vessels for a maritime technology company.

The challenge of detecting and forecasting the location of any vessel has not yet been solved by our industry.

This project will have an invaluable impact to the global environment by being able to identify those vessels that engage in unlawful and non-ethical activities.

This post is fixed term for 33 months and is based at Pole Star Space Applications Limited offices in London, from which you will have the opportunity to work with both domestic and international teams.

We have a hybrid working set up so your time can be split between our new offices in Shepherds Bush and working from home.

DUTIES OF THE POST

The duties of the post will include:

Use the latest predictive models and data imputation methods to deal with a wide range of missing data, such as interpolation and optimisation approaches.
Create accurate vessel prediction algorithms using statistical modelling and analysis, and leading their training and testing.
Work with our team of Software Engineers and Software Architects to successfully integrate a range of different data sources into a single platform, as well as the developed algorithms.
Communicate high level technical concepts to nonspecialists when giving presentations to internal and external stakeholders.
Effectively manage the project.
Supervise MSc students and later in the project, the Data Team.
Work collegiately across the UK and US technical teams.
Effectively document and hand over approaches, techniques, and models to our Data and Software teams.
Present the project outputs in workshops or conferences, if required.
Write up manuscripts which are suitable for academic publications

KEY REQUIREMENTS

A first degree in Data Science and Analytics, Statistics, Mathematics, or similar disciplines.
A higher degree (ideally a PhD) in Data Science, Optimisation, Data Analytics, Statistics, Artificial Intelligence (or similar), or equivalent industry experience.
Good theoretical and applied knowledge of machine learning and artificial intelligent methods (i.e. Kmeans clustering, convolutional neural networks, supportvector machines, and long shortterm memory neural networks).
Knowledge of predictive models and data imputation methods (i.e. interpolation and optimisation approaches).
Experience of creating algorithms and leading their training and testing.
Essential programming skills in R, Python, or other relevant programming languages.
Good knowledge in statistical modelling
An excellent communicator, who can explain complex technical concepts to nonspecialists.
A team player who can also take initiative and work unsupervised.
Experience of project management, the ability to manage multiple deadlines and the priorities of a range of stakeholders.
Excellent written communication skills.