School/Department: School of Water, Energy and Environment
Based at: Cranfield Campus, Cranfield, Bedfordshire
Working hours: 37 hours per week, normally worked Monday to Friday. Flexible work will be considered.
Type of Contract : Fixed-term contract
Fixed-term period: 36 months
Salary: The full-time starting salary is normally £35,559 per year (Research Fellow) or £32,810 per year (Research Assistant)
We welcome applications from passionate, skilled and committed data scientists to join the Cranfield Environment Center to develop transformational environmental research.
About the role
We are looking for a Research Assistant or Researcher in Environmental Data Science to join the Cranfield Environment Center (CEC), and working on several exciting new projects that address the challenges posed by environmental change. These include the NERC-funded Restoration of Resilient Ecosystems (RestREco) which explores new approaches to restoring resilient ecosystems in a changing climate, and Defragmenting the Fragmented Urban Landscape (DEFRAG) on how urban form affects biodiversity; biological processes and ecosystem services; and OpenGHG which aims to aggregate pre-existing and newly developed models and methods into a platform for data analysis and visualization of greenhouse gas emissions and potential future warming scenarios.
As a research assistant or researcher in environmental data science, you will analyze the concepts of resilience and complexity on long-term datasets of forest and grassland habitats and their evolution, and model urban environments of ecological systems using new data. Knowledge of environmental data collection, storage and processing techniques (including biological, ecological and/or geospatial data and satellite observations), modeling, programming and machine learning approaches are essential for this role . You will need modeling and programming expertise to help analyze, optimize and develop new techniques for transformational research in ecology.
You will be expected to liaise and work closely with Cranfield’s academic and technical team as well as project teams from other institutions and other project collaborators.
You will hold a PhD (or close to completion) in data science or a related discipline and master data science techniques and methods, including complexity computation, and be able to develop new approaches. You will have a peer-reviewed publication track record as evidence of your ability to prepare, edit and submit high-quality research results.
Extensive research experience in data science for environmental monitoring and modeling is essential, as are excellent project and time management skills, as well as the willingness and ability to travel to the field, with some occasional international travel (e.g. overseas conferences). You must also be enthusiastic about environmental protection and the impact our research could have on solving environmental problems.
As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unparalleled industry partnerships create world leaders in technology and management. Learn more about Cranfield and our unique impact here.
The Cranfield Environment Center (CEC) concentrates leading UK expertise in the key areas of data science, computing and decision science, combined with new sensor technology and computational development.
CEC specializes in the development of transformational computing technology, integrating technologies for data collection and monitoring (sensor technology), data manipulation and interpretation (computing and data science). We include research on air quality and climate change, soil quality, crop growth and monitoring, natural capital, ecosystem goods and services, and urban systems. In this way, CEC articulates the benefits and conclusions of the data collected, providing a holistic systems approach to agricultural and environmental informatics.
The role is in the Applied Remote Sensing Group at Cranfield, led by Dr Toby Waine.
Our values and commitments
Our shared and stated values help define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Learn more here.
Our goal is to create and sustain a culture where everyone can work and study together and realize their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions program. We are committed to actively exploring flexible working options for every role and have been ranked among the top 30 family employers in the UK by the association Work families. Learn more about our core commitments to Equality, Diversity & Inclusion and Flexible Working here.
Collaboration and connection are integral to much of what we do. Our working environment offers many staff the opportunity to flexibly combine on-site and remote work, when roles allow, balancing the needs of our community of staff, students, customers and partners.
How to register
For an informal discussion of this opportunity, please contact Dr Daniel Simms, Senior Lecturer in Remote Sensing, at (E): [email protected]
Please do not hesitate to contact us for further details on E: [email protected] Please quote reference number 4304.
Deadline for receipt of applications: December 1, 2022