Lecturer/ Senior Lecturer/Reader in Data-Driven Characterisation of Materials

Imperial College London

Closing Date 19 October 2024

About the role

Imperial College London, seeks a Lecturer / Senior Lecturer / Reader in Data-Driven Characterisation of Materials to join the Department of Materials within the Faculty of Engineering.

We are Imperial – a world-leading university for science, technology, engineering, medicine and business (STEMB), where scientific imagination leads to world-changing impact.

You will be expected to plan, direct and undertake the implementation of research activities and programmes of outstanding quality, international repute and innovation in the area of data-driven materials characterisation. This role focuses on leveraging artificial intelligence (AI) or comparable methods to transform the analysis of the large datasets produced by cutting-edge characterisation techniques both available within the department and at national facilities, and may include elements of automation and self-driving workflows, along with integration with other characterisation techniques to provide a multiscale, multiprobe view of advanced materials. We welcome applicants with expertise in AI-driven data interpretation and autonomous experimental strategies across all materials characterisation methods available in the Department.

What you would be doing

The ideal candidate will possess a strong track record of research in the relevant discipline.  They will be expected to generate income from external sources to support their own research programme and to develop collaborative programmes with other academics within the Department, across other research centres and institutes across the College and other departments within the College. They will be expected to advance the reputation of the Department and the College by disseminating their research through publications in international peer-reviewed journals and presentations to relevant audiences including at international conferences.

You will be capable of contributing to the Department’s undergraduate and postgraduate taught programmes and expected to teach and assess across a wide spectrum of its lecture courses. They will be required to prepare and deliver lectures and other classes to groups of typically 20 to 150 students in any one of the four years of the undergraduate course or the MSc courses. In addition, because the Department’s teaching places great emphasis on project-based work, the appointee will be involved in the supervision and assessment of laboratory classes, group exercises and research projects. All lecturers in the Department are required to attend training courses in teaching methods and course design.

What we are looking for

Applicants will be assessed against the following person specifications, taking into account the level of the position for which they are applying:

E – Essential: Requirements without which the job could not be done.

D – Desirable: Requirements that would enable the candidate to perform the job well.

Lecturer:

  • PhD in the physical sciences, engineering or related field or equivalent
  • A developing national reputation and expertise in the field of data-driven materials characterisation. This can include both application of existing methods with a focus to understand or design specific materials as well as methods development. 
  • An ability to articulate a clear research vision which complements existing work.
  • Experience of preparing grant applications for submission.
  • A portfolio of high quality of research publications, confirming national standing (commensurate with career stage).
  • Experience of training undergraduate and postgraduate students and evidence of an aptitude for teaching.

Senior Lecturer:

  • An established national and developing international reputation and expertise in the field of data-driven materials characterisation. This can include both application of existing methods with a focus to understand or design specific materials as well as methods development. 
  • An ability to articulate a clear research vision which complements existing work.
  • A track record in attracting high levels of research funding.
  • Evidence of contribution to the development and performance of colleagues through coaching and mentoring.
  • Experience and capability to act as a role model in areas of research, teaching and management as appropriate.
  • Extensive experience in leading the design of research programmes.
  • An excellent record of research, evidenced by a portfolio of research publications, confirming national/ international standing (commensurate with career stage).

Reader:

  • An established international reputation in the field of data-driven materials characterisation. This can include both application of existing methods with a focus to understand or design specific materials as well as methods development. 
  • A significant track record in attracting high levels of research funding.
  • Evidence of contribution to the development and performance of colleagues through coaching and mentoring.
  • Experience and capability to act as a role model in areas of research, teaching and management as appropriate.
  • Extensive experience in leading the design of research programmes.
  • Significant experience of teaching and training undergraduate and taught postgraduate students.
  • An outstanding record of research, evidenced by a portfolio of research publications, confirming national/ international standing (commensurate with career stage).

What we can offer you

  • The opportunity to join an established academia/industry collaboration at an exciting time, as the Centre enters its second phase with new projects getting underway.
  • The chance to lead the organisation of our annual public-facing event in Q1 of 2025, which will promote key research findings from the Centre’s first phase. 
  • The opportunity to work with research teams from a range of departments and disciplines.
  • The opportunity to continue your career at a world-leading institution.
  • Sector-leading salary and remuneration package (including 38 days off a year)
  • We provide a wide-ranging benefits package that includes resources, tools and networks to promote a positive working environment.
  • Pensions – excellent employer contributions
  • Season Ticket loan – interest free.
  • Childcare facilities – Early Years Education Centre
  • Childcare vouchers – salary sacrifice scheme.
  • Staff accommodation
  • Our flagship sports centre and gym in South Kensington Campus

Further information

Please apply online, uploading any relevant supporting documents such as a cover letter, full CV, which should include:

  • degrees (including universities and dates);
  • past and present posts, list of publications;
  • description of current and future research plans (2 pages);
  • teaching statement and evidence of teaching scores;
  • information on research grants and contracts which have been obtained, student supervision, etc;
  • information regarding public engagement undertaken with research activities. Examples include:  participating in festivals, working with cultural venues; creating opportunities for the public to inform research; researchers and the public working together to inform policy; citizen researchers and web-based experiments, public debates, etc.

For further details on the role please contact: Professor Sandrine Heutz,  s.heutz@imperial.ac.uk

Queries regarding the application process should be directed to: Darakshan Khan (d.khan@imperial.ac.uk).

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.

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20630&jobTitle=Lecturer%2F+Senior+Lecturer%2FReader+in+Data-Driven+Characterisation+of+Materials