Job description
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.
You will be working with dynamic and Innovative engineering & data teams, applying your data science & ML/AI knowledge to upskill our technical teams, accelerate their learning and help Pole Star Global build a product which is truly the first of its kind.
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.
The duties of the post will include:
Apply the latest machine learning and artificial intelligent methods to
vessel trajectory prediction and ship detection.
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 non-specialists 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
Project description
To use data science methods to develop an online real-time forecasting algorithm for the location of vessels for a maritime technology company.
About the business
A leader in maritime intelligence
Maritime, Software and Computing
Electronic Engineering, Computer Science
A higher degree (ideally a PhD) in Data Science, Optimisation, Data Analytics, Statistics, AI (or similar), or equivalent industry experience
18 May 2023
14 June 2023
31 July 2023
REQ07489
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.
You will be working with dynamic and Innovative engineering & data teams, applying your data science & ML/AI knowledge to upskill our technical teams, accelerate their learning and help Pole Star Global build a product which is truly the first of its kind.
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.
The duties of the post will include:
Apply the latest machine learning and artificial intelligent methods to vessel trajectory prediction and ship detection.
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 non-specialists 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