Research Assistant in Bridging Models at Different Scales for the of Design at Imperial College London
South Kensington, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

15 May, 25

Salary

0.0

Posted On

16 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Communication Skills, Original Research, New Concepts, Statistics, Graduate Students, Machine Learning

Industry

Education Management

Description

AVAILABLE DOCUMENTS

Attached documents are available under links. Clicking a document link will initialize its download.
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

Responsibilities

ABOUT THE ROLE

Applications are invited for a Research Assistant position in the Department of Mathematics at Imperial College London, funded by the Marie Skłodowska-Curie Actions programme.

WHAT YOU WOULD BE DOING

You will work closely with Dr Andrew Duncan and the statistics group at Imperial College on some aspects of the Marie Skłodowska-Curie ITN programme, titled “Bridging Models at Different Scales to Design New Generation Fuel Cells for Electrified Mobility”.
This position is well-suited for candidates with expertise in one or more of the following areas: machine learning, computational statistics, fluid dynamics and multiscale systems.

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