Back to search results

Research Assistant/Associate in Machine Learning and Landscape Management (Fixed Term)

University of Cambridge - Department of Computer Science and Technology

Location: Cambridge
Salary: £36,024 to £44,263 per annum
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 17th October 2024
Closes: 3rd November 2024
Job Ref: NR43623

Fixed-term: The funds for this post are available until 31 January 2025 in the first instance. 

Applications are invited for a Research Assistant/Associate position to work as part of the flagship Centre for Landscape Regeneration (CLR) led by the University of Cambridge https://www.clr.conservation.cam.ac.uk/ 

The successful candidate will be based in the Department of Computer Science and Technology and will join the research group of Prof Emily Shuckburgh, as well as being part of the Centre for Landscape Regeneration (CLR). 

The Centre for Landscape Regeneration (CLR) is an ambitious programme of research that aims to provide the knowledge and tools needed to regenerate the British countryside using cost-effective nature-based solutions that harness the power of ecosystems to provide broad societal benefits including biodiversity recovery and climate mitigation and adaptation. The Research Assistant/ Associate will work in partnership with colleagues from multiple departments within the University of Cambridge as well as the collaborating organisations (RSBP, NIAB and UKCEH). 

The role holder will lead the research to develop machine-learning based approaches to advance the core objectives of the project. The primary focus will be on identifying optimal land management solutions to delivering food production, nature conservation and greenhouse gas emissions reductions. This will involve deploying machine learning techniques to model a collection of objective functions. A statistical emulation approach will be used to infer optimal solutions and allow a wide range of scenarios to be explored to reveal trade-offs affecting decision-making. Data from remote and in situ sensor technologies will be utilised and the role holder will develop multi-fidelity approaches to synthesise different data sources. Comprehensive climate change risk assessments based on downscaled and bias-corrected climate simulations (also using machine learning) will be conducted for each landscape to assess resilience of landscape restoration solutions to climate change. The role holder could work in all three landscapes or could choose to focus on one or two. 

Eligible candidates must have (or be close to submitting) a PhD in Computer Science or a related discipline (or equivalent experience). A background in machine learning applied in an environmental science domain is essential. Applicants must be highly motivated and should have excellent time management, organisational and communication skills, and be able to work well independently and as part of a collaborative, interdisciplinary team. 

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded.

The successful candidate will be based in Cambridge and regular office attendance will be required, with the opportunity to participate in a wide range activities and will also be associated with the Institute of Computing for Climate Science, https://iccs.cam.ac.uk/. They will also have the opportunity to participate in a wide range of activities taking place the Cambridge Conservation Initiative (CCI) https://www.cambridgeconservation.org/

To apply for this vacancy and to view further information about the role, please click 'Apply' above.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
More jobs from University of Cambridge

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge