Job title: Research Associate Probabilistic Machine Learning (Part Time, Fixed Term)
Company: University of Cambridge
Job description: Fixed-term: The funds for this post are available for 2 years.
We are looking for a Research Associate to work on the project Machine Learning Approaches as Aerospace Engineering Assistants. Under the supervision of Dr. Carl Henrik Ek and Dr. Henry Moss the postholder will be responsible to develop of probabilistic models and approximate inference methods. Specifically the postholder will work in a collaborative project between the Department of Computer Science and Boeing. The project is focused on building probabilistic models for the task of engineering designs. The design process is very labour intensive and is fundamentally driven by tacit knowledge that designers build up after many years of practice. This knowledge is reflected in the data of the resulting designs. In this project we aim to exploit the statistics in this data to build tools that allow us to shed light on design process. In specific we aim to build probabilistic models that allows for constrained and conditional sampling of designs and allows for optimisation and exploration of designs. The postholder will also be expected to be involved in supervision of PhD and MPhil students working on projects that are part of the same collaboration. Candidates will have completed a PhD within the field of Machine Learning with a specific focus on probabilistic and Bayesian models. In specific we are looking for candidates with expertise on Bayesian optimisation, experimental design, Gaussian processes and active sampling. Given that the engineering design process consists of many steps the ideal candidate have experience in hierarchical and composite probabilistic models.
The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: to find out more about our Department.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa.
If you have any queries regarding the application process please contact Dr Carl Henrik Ek .
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
Required documents include a cover letter and a curriculum vitae. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please quote reference NR40122 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.
Further information
Expected salary: £36024 – 44263 per year
Location: Cambridge
Job date: Tue, 16 Jan 2024 23:54:48 GMT
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