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Research Assistant in Bridging Models at Different Scales for the of Design New Generation Fuel Cells

Applications are closed

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Research & Development
  • London

Requirements

  • Hold MSc Degree or equivalent level of professional qualifications and/or experience in statistics, machine learning or closely related fields
  • Ability to carry out original research and to produce published research papers
  • Ability to identify, develop, and implement new concepts, techniques, and methods
  • Ability to organise own work independently
  • Ability to prioritise own work in response to deadlines
  • Ability to work with others, especially graduate students
  • Excellent verbal communication skills including the ability to deal with a wide range of people, and to communicate complex information clearly.

Responsibilities

  • 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".
  • Ability to carry out original research and to produce published research papers
  • Ability to identify, develop, and implement new concepts, techniques, and methods
  • Ability to organise own work independently
  • Ability to prioritise own work in response to deadlines
  • Ability to work with others, especially graduate students
  • Excellent verbal communication skills including the ability to deal with a wide range of people, and to communicate complex information clearly.

FAQs

What is the job title for this position?

The job title is Research Assistant in Bridging Models at Different Scales for the Design of New Generation Fuel Cells.

Where is this position located?

The position is based at the South Kensington Campus and supports a hybrid work model.

What is the salary range for this role?

The salary range for this role is £43,003 - £46,297 per annum.

What is the contract type and work pattern for this position?

The contract type is fixed term and the work pattern is full time.

When is the expected start date for this position?

The expected start date is 16 April 2025 or as soon as possible thereafter.

What qualifications are essential for this role?

Candidates must hold an MSc Degree or equivalent level of professional qualifications and/or experience in statistics, machine learning or closely related fields.

What research areas should candidates have expertise in?

Candidates should have expertise in machine learning, computational statistics, fluid dynamics, and multiscale systems.

Is previous research experience necessary?

Yes, the ability to carry out original research and produce published research papers is essential.

What is required from candidates in addition to the online application?

Candidates should attach a full CV, a 2-page research statement detailing their relevance to the position and future research plans, and the details of three referees.

Who should candidates contact for specific inquiries about the post?

Candidates should contact Dr. Andrew Duncan at the email address a.duncan@imperial.ac.uk.

Can candidates apply for this position if they have only experience in one of the required fields?

Yes, expertise in one or more of the listed areas is acceptable.

Does Imperial College London support diversity and inclusion in hiring?

Yes, Imperial College London is committed to equality of opportunity, eliminating discrimination, and creating an inclusive working environment for all.

What benefits does this position offer?

The position offers access to dedicated career support for researchers, promotion opportunities, a sector-leading salary and remuneration package including 39 days off a year, and generous pension schemes.

Imperial is a global top ten university with a world-class reputation in science, engineering, business and medicine

Education
Industry
5001-10,000
Employees
1907
Founded Year

Mission & Purpose

Consistently rated in the top 10 universities in the world, Imperial College London is the only university in the UK to focus exclusively on science, medicine, engineering and business. At Imperial we bring together people, disciplines, industries and sectors to further our understanding of the natural world, solve major engineering problems, lead the data revolution and improve health and well-being.

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