Early Career Research Fellow in AI for Environmental Resilience

TN United Kingdom; Manchester; On-site; GBP 30,000 - 50,000; Full time

Job summary

An established industry player is seeking early career research fellows to advance environmental resilience through AI. This exciting opportunity involves leveraging AI to analyze unstructured data, focusing on biodiversity conservation, agri-tech, and disaster risk reduction. Successful candidates will join a dynamic team at a prestigious university, contributing to groundbreaking research that addresses pressing global challenges. With a strong commitment to diversity and inclusion, this role promises a supportive environment for innovative thinkers passionate about making a difference. Join this journey to harness the power of AI for a sustainable future!

Benefits

Market leading Pension scheme

Employee health and wellbeing services

Exceptional annual leave entitlement

Paid closure over Christmas

Local and national discounts at retailers

Qualifications

• Relevant research experience in AI, NLP, text mining, or data science.
• Post-doctoral research fellow position available.

Responsibilities

• Investigate AI-driven analysis of unstructured data for environmental resilience.
• Work on biodiversity conservation and agri-tech health initiatives.

Skills

Artificial Intelligence

Natural Language Processing (NLP)

Text Mining

Machine Learning

Deep Learning

Data Science

Education

PhD in relevant field

Job description

Early Career Research Fellow in AI for Environmental Resilience, Manchester

Client: The University of Manchester

Location: Manchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 53889b4c5ccd

Job Views: 30

Posted: 13.04.2025

Expiry Date: 28.05.2025

Job Description:

Early Career Research Fellow in AI for Environmental Resilience

The University of Manchester invites applications for a post-doctoral Research Fellow in Artificial Intelligence (AI) to work on "Enhancing Environmental Resilience through AI-driven Analysis of Unstructured Data", a project funded by the International Science Partnerships Fund (ISPF) which is managed by the UK Department for Science, Innovation, and Technology and delivered by the British Council. The project will investigate how AI-based approaches for analysing unstructured data (i.e., large amounts of text) can be applied to:

1. Biodiversity conservation: the extraction of scientific knowledge that can inform biodiversity conservation programmes;
2. Agri-tech and health (food systems): the understanding of food production and consumption-related information in order to make consumer diets healthier and more sustainable;
3. Risk reduction from extreme weather: the real-time detection of impacts of natural disasters on citizens based on social media content.

We are looking for early career fellows from the Philippines with relevant research experience in the areas of AI, natural language processing (NLP), text mining, machine/deep learning or data science. A total of three fellows--one for each of the topics above--will be recruited.

The successful candidates will be based in the Department of Computer Science at the University of Manchester, and will be embedded in the Natural Language Processing and Text Mining research group. The full-time positions are available from 1 October 2025 for up to nine (9) months. We expect to hold interviews in early June 2025.

Visit the University of Manchester ISPF page for further details on what the fellowship offers, eligibility criteria and the information that we require you to include in your application.

Please upload a single PDF document merging your CV (2 pages maximum) and cover letter (3 pages maximum).

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to [emailprotected].

Any CV’s submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.