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Department of Geography

 

Job opportunities

Job opportunities

Current vacancies within the Department are posted here.


Assistant Departmental Administrator

Salary: £30,942-£40,322.

The Department of Geography wishes to appoint an Assistant Departmental Administrator from April 2021, or as soon as possible thereafter.

The role-holder will work flexibly and employing a significant degree of initiative to provide high-level administrative support to the Department, and in particular to the Head of Department and Department Administrator, through a mixture of on-going responsibilities and project work. They will support the Head of Department directly in the development and delivery of operational and strategic priorities, interpreting and explaining guidance, gathering and analysing management information, developing local policies and procedures, and leading projects. They will support the Department's strategic priorities in learning, teaching and student recruitment through effective leadership of the learning and teaching support team.

For more information on this post, click on the 'Further information' link below.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please provide a curriculum vitae and a covering letter in the Upload section of the online application. In the covering letter you are encouraged to describe how your knowledge, skills and experience match the Person Specification for the role. If you upload any additional documents which we have not requested, we will not be able to consider these as part of your application. Full contact details of two referees are required, at least one of whom we may contact if you are invited for interview. One of your referees must represent your current or most recent employer.

Interviews for shortlisted candidates are expected to take place online on Monday 12 April 2021.

Please quote reference LC25800 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Research Associate (Fixed Term)

Salary: £32,816-£40,322.

Postdoctoral Research Associate in Remote Sensing of Forests

Applications are invited for a Research Associate to join Dr Emily Lines' UKRI Future Leaders Fellowship project "Next generation forest dynamics modelling using remote sensing data". This is an interdisciplinary project at the intersection of ecology, remote sensing, and data science. The successful candidate will have experience and expertise in quantitative and computational approaches in ecology and/or remote sensing.

Forest ecosystems sequester one third of human-induced greenhouse gas emissions and house 80% of the Earth's terrestrial biodiversity, but face threats including a rapidly changing climate, deforestation and degradation, and the spread of invasive diseases.

Accurate monitoring of forests to understand their structure and function is crucial for effective conservation, and recent advances in terrestrial and drone remote sensing technology create the potential for large-scale low-cost high-resolution monitoring. New technologies such as Terrestrial Laser Scanning and drone remote sensing can capture 3D information on individual trees and whole-forest canopies in unprecedented detail, offering a link between field collected and satellite Earth Observation data. They can measure tree and crown shape, leaf area and arrangement, and crown tessellation in canopies, which are known drivers of productivity and dynamics, opening up the possibility of new approaches to forest modelling. However, the explosion in three-dimensional multi-band data available has not yet been followed by cutting-edge tools to analyse them, meaning their value is not fully exploited in forest ecology.

The successful candidate will carry out extensive fieldwork in forest plots across the UK and Europe, which may include physically strenuous activities and you will be required to carry equipment whilst hiking over sometimes difficult terrain. You will collect forest structural information using terrestrial and drone-based remote sensing, and develop new computational methods to extract ecologically relevant information about individual trees and the data will be used to understand linkages between forest structure and dynamics. The post holder will work closely with PI Dr Emily Lines and co-I Dr Stuart Grieve (QMUL), and will collaborate with UK and international project partners from both academic and commercial research organisations.

Informal enquiries should be made by email to Dr Emily Lines at erl27@cam.ac.uk.

Fixed-term: The funds for this post are available for 24 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

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Please quote reference LC25751 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Research Associate (Fixed Term)

Salary: £32,816-£40,322.

Improving probabilistic models for automated alignment of Palaeoclimate records

The role will be working on a new project funded by the Isaac Newton Trust about probabilistic algorithms for automated alignment of palaeoclimate records. The post holder will be based in the Department of Geography and will work under the guidance of Dr Francesco Muschitiello.

The stratigraphic correlation of marine sediment cores, speleothems and ice core records plays a central role in palaeoclimate research as it used to develop mutually consistent timescales for climate proxies measured in these archives. To present, the vast majority of stratigraphic correlations are performed manually, which is inherently subjective, often difficult to reproduce and comes without quantification of the confidence of correlations. Alignment algorithms grounded on probability theory can help us address these limitations. In particular, they have an enormous and, as of yet, underexploited potential for automating the correlation of proxy timeseries, ensuring reproducibility and deriving confidence bands associated with the alignment procedure.

This project aims at upgrading an existing automated algorithm for stratigraphic correlation and deploying the first graphical user interface (GUI) to perform probabilistic alignment of palaeoclimate records. The successful applicant will: 1) develop an improved Bayesian alignment algorithm that models alignments based on multiple proxy signals and incorporates prior knowledge on the depositional history of the climate archives used for correlation; 2) design a dedicated GUI software to facilitate the usability of the algorithm. The new algorithm and related GUI will provide an essential tool to construct robust chronologies for climate archives with poor independent age control and will increase the accessibility of probabilistic alignment methods to the wide palaeoclimate community .

Eligible candidates must have a PhD in Earth Science, Geological Science, Applied Mathematics, Computer Science, or similar. A background in Mathematics, Bayesian Statistics, and Stochastic Processes is desirable. Prior research experience in building probabilistic and statistical models for geological data would be a significant advantage. Applicants must have strong programming skills and proven experience of publishing high-quality research articles. They must be highly motivated and should have excellent organisational and communication skills, and be able to work well as part of a team.

The successful candidate will be based in Cambridge and have the opportunity to participate in a wide range of departmental and University activities, including the departmental 'Climate and Environmental Dynamics' research group, departmental seminars, and reading groups across the University.

Informal inquiries should be directed to Dr Francesco Muschitiello by email, fm476@cam.ac.uk.

Fixed-term: The funds for this post are available for 14 months in the first instance.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

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Please quote reference LC25610 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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