About the Position
The University of Cambridge invites applications for up to two UKRI-funded Research Assistant/Associate positions in Exoplanetary Remote Sensing and Data Science within the prestigious Institute of Astronomy. Working under the guidance of Professor Nikku Madhusudhan, this role focuses on the characterisation of low-mass sub-Neptune exoplanets using James Webb Space Telescope (JWST) observations and complementary facilities. The project integrates astronomical spectroscopy, remote sensing, data reduction, statistical modelling, and software development to advance global understanding of exoplanetary atmospheres, interiors, and habitability. This position offers a unique opportunity to contribute to internationally recognised research, collaborate with a dynamic team, and engage with cutting-edge datasets essential for shaping the future of exoplanetary science.
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Position/Job Details
- Position: Research Assistant / Research Associate
- Institution: University of Cambridge
- Department: Institute of Astronomy
- Research Field: Exoplanetary Remote Sensing & Data Science
- Location: Cambridge, UK
- Number of Posts: Up to 2
- Job Type: Full-time, Fixed-term (2 years with possible 1-year extension)
- Start Date (Anticipated): Negotiable
- Working Hours: Full-time
- Salary Range: £34,610–£35,608 (Research Assistant) / £37,694–£46,049 (Research Associate)
- Required Degree/Diploma: PhD
Research Area
- Exoplanet spectroscopy
- Astronomical data reduction and analysis
- Earth or planetary remote sensing
- Data science and statistical methods
- Pipeline development and machine learning
- Software engineering for scientific applications
Eligibility & Qualifications
Minimum Requirements:
- PhD in Astronomy, Physics, Computer Science, Engineering, or a related field (or PhD requirements fulfilled by appointment date)
- Strong communication and computing skills
Preferred Qualifications:
- Expertise in exoplanet spectroscopy with JWST, HST, or ground-based telescopes
- Experience with time-series analysis and large scientific datasets
- Background in remote sensing, machine learning, or full-stack software development
- Proven ability to contribute to competitive research programmes
Key Responsibilities
- Conduct research on low-mass exoplanets using JWST and other datasets
- Perform data reduction, statistical analyses, and model-based interpretation
- Develop tools, pipelines, or software supporting exoplanetary research
- Collaborate with the research group and contribute to publications
- Present findings at meetings and conferences
- Support an inclusive, collaborative research environment
Application Process
How to Apply
Applicants must apply through the University of Cambridge recruitment system by clicking the Apply online link.
Required Documents
- Cover letter
- Curriculum Vitae
- List of publications
- Statement of research experience and interests (max 3 pages)
- Contact information for three referees
Important Dates
- Application Opens: 9 December 2025
- Deadline: 11 January 2026 (23:59 GMT)
- Interview Date: Early February 2026 (provisional)
Useful Links
- Institution Website: University of Cambridge
- Official Notification Link: click here
- Apply Now: click here
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