Research Assistant or Associate at Imperial College London
South Kensington, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

10 Sep, 25

Salary

46297.0

Posted On

10 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Education Management

Description

WHAT WE ARE LOOKING FOR

We’re looking for a proactive and organised researcher with a strong understanding of data and digital innovation in education. You’ll be comfortable working as a part of matrix teams and disciplines, and confident in managing aspects of conducting educational research.
To thrive in this role, you will need:
Experience of conducting qualitative or mixed-methods research, including interviews, focus groups, and literature reviews. Proficiency with qualitative analysis tools and familiarity with basic quantitative analysis. Have the ability to present insights clearly to a range of audiences demonstrating excellent communication skills in both written format and verbally. Have an ambition to contribute towards the evidence base in the learning analytics field. Come with strong organisational skills, attention to detail, and the ability to manage your workload independently. Alongside your skills your approach to working with colleagues and stakeholders across disciplines should be collaborative, adaptable, and proactive.

FURTHER INFORMATION

This is a fixed term part time post (0.5FTE) for 12 months, between 1st August 2025 and 31 July 2026.

  • Candidates who have not yet officially been awarded their PhD will be appointed initially at Research Assistant (with a salary range of £43,003 to £46,297).

This role is open for Imperial staff looking for a secondment opportunity. We are also appointing a Project Manager role NAT01978 in this recruitment round and are open to candidates who wish to apply to both posts by submitting two applications.
If you require any further details about the role, please contact Kiran Gawali, Education Insight and Evaluation Analyst via email k.gawali@imperial.ac.uk

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

Are you passionate about educational research and data-driven innovation to support student success? We are looking for a motivated and curious Research Assistant or Research Associate to join the Faculty of Natural Sciences EdTech Lab at Imperial College London. In this role you’ll contribute to a Digital Innovation Fund project—Extending Assessment Data Analytics capabilities (referred to as ADA), that’s shaping the future of learning analytics at the University. Based at our South Kensington Campus, you’ll help evaluate and refine data tools and practices that support students and staff across the faculty.

WHAT YOU WOULD BE DOING

As a researcher passionate about transforming education through data, you’ll join a collaborative and forward-thinking team at the forefront of learning analytics. This role is funded by the Digital Innovation Fund. The project “Extending Assessment Data Analytics Capabilities” (ADA), has been running since April 2024. It’s aimed at enhancing how faculty assessment data is gathered, interpreted, and applied to support students. Working alongside central learning analytics team, academic departments, IT teams, and senior stakeholders, you’ll help evaluate and pilot data tools and practices that inform staff and students. By submitting publications to refereed journals you will contribute towards creating an evidence base for the learning analytics field.

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