5-year Postdoc fellowship in Computer Science (PL) for Climate Science (U of Cambridge)
Computational modelling is at the core of climate science, where complex models of earth systems are key to the scientific process. Most models embed significant inherent and accidental complexity (perhaps caused by programming languages) which hampers verification and maintenance, reproducibility, and performance.
We're looking for PL people who can help address this.
Closing date 31/5/2023
Computational modelling is at the core of climate science, where
complex models of earth systems are key to the scientific process.
Most models embed significant inherent and accidental complexity
which hampers verification and maintenance, reproducibility, and
performance. There is consequently a pressing need for computer
science research to provide the tools and techniques that climate
scientists need to deliver new high-quality, high-performance, and
high-assurance models.
Applying the latest computer science research to support climate
science is the aim of this 5-year Early Career Academic Fellowship
in the new Institute of Computing for Climate Science (ICCS) at
the University of Cambridge. The institute is a joint venture
between the Department of Applied Mathematics and Theoretical
Physics, the Department of Computer Science and Technology and
University Information Services, thanks to a philanthropic
donation from Schmidt Futures.
ICCS will improve understanding of our changing climate through
the development and dissemination of models for scientific
computing. ICCS hosts a team of Research Software Engineers who
work directly with four international Virtual Earth Systems
Research Institutes (VESRI) to address computation and research
software needs of climate scientists. This Fellowship offers a
unique opportunity to carry out foundational research into
computational support for climate science, with access to climate
science teams.
As part of the interdisciplinary ICCS team, this opening is for an
outstanding research scientist with expertise in working across
the interfaces between data science, computer science and climate
science. As part of the University of Cambridge, ICCS has a
significant education and training component, through the
commitment towards sharing its scientific insights openly and
broadly, and will contribute strongly to Cambridge Zero, the
University's climate change initiative, that is identifying routes
to the creation of a sustainable, zero-carbon future for all.
Areas of expertise that are welcomed for this fellowship include:
- Parallelisation and high-performance computing.
- Programming language design and implementation.
- Data visualisation and analysis.
- Verification, particularly for numerical computing.
- Machine learning in the context of modelling and its
effective programming
Fellows will be encouraged to develop their own research agenda,
with guidance and mentoring by the ICCS directors, in particular
Dr Dominic Orchard who leads the Computer Science vision of the
institute, and with Dr Jeremy Yallop.
The Fellow will be affiliated with the Department of Computer
Science and Technology and expected to collaborate with the
Research Software Engineers within ICCS and the VESRI Science
teams. The appointment has generous travel and research expenses
support, and will allow Fellows to supervise PhDs, apply for other
funding, and engage with teaching within ICCS and across the
University. The position also includes dining rights at
Queens' College.
Role requirements:
- A PhD in Computer Science or another relevant subject area.
- Normally at least three years' research experience (obtained
in either academic or industrial settings).
- A strong track record of published research in one or more
relevant areas.
- Evidence of potential for interdisciplinary collaborations.
- Evidence of potential to obtain additional research funding.
Experience of teaching and research supervision is desirable.
This is a fixed term appointment and funds are initially available
for 5 years. If you have questions regarding the role or
application process, please contact Dominic Orchard
([email protected]) or Jeremy Yallop
([email protected]).
Please quote reference NR35996 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.
More details: https://www.jobs.cam.ac.uk/job/40147/