Cambridge Early-Career Research Fellowship for Women

Cambridge Early-Career Research Fellowship for Women

Cambridge Full-Time 31650 - 43607 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct groundbreaking research in Science, Mathematics, Engineering, or Psychology.
  • Company: Newnham College, Cambridge, a prestigious institution supporting women in academia.
  • Benefits: Three-year fellowship with opportunities for professional growth and networking.
  • Other info: Embrace diversity and contribute to innovative research at a leading college.
  • Why this job: Join a vibrant community of women researchers and make a significant impact in your field.
  • Qualifications: Must be a woman graduate with a PhD or submitting by 31 August 2026.

The predicted salary is between 31650 - 43607 Β£ per year.

Newnham College, Cambridge invites applications from women graduates for a Research Fellowship in any field of Science, Mathematics, Engineering or Psychology.

The Fellowship is tenable for three years from 1 October 2027 and is not renewable or extendable.

The College welcomes applications from women of diverse backgrounds and ethnic groups.

The successful applicant will be a post-doctoral researcher who has been awarded their Ph D or a graduate student submitting by 31 August 2026.

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Cambridge Early-Career Research Fellowship for Women employer: Economicsnetwork

Join the Faculty of Science and Engineering at the University of Manchester, where you will be part of a vibrant team dedicated to pioneering research in quantum materials. With a strong commitment to employee development, we offer generous benefits including a substantial pension contribution, 29 days of annual leave, and access to world-class research facilities, all within a collaborative and inclusive work culture that values diverse perspectives.

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Contact Details:

Economicsnetwork Recruitment Team

We think you need these skills to ace Cambridge Early-Career Research Fellowship for Women

Research Skills
Post-Doctoral Research Experience
PhD Qualification
Scientific Methodology
Data Analysis
Critical Thinking
Communication Skills