Research Assistant/Associate in Data Science of Dairy Cattle Welfare and Emissions

Newcastle University
Newcastle upon Tyne
1 week ago
Create job alert

The Role

Do you have a passion for using data science to address real-world challenges in animal welfare and agricultural sustainability?

We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary research team working at the interface of dairy cattle welfare, production and emissions. This role sits within the School of Natural and Environmental Sciences (SNES) in the Faculty of Science, Agriculture and Engineering (SAgE) and contributes to research that supports sustainable and ethical livestock systems.

You will play a key role in ensuring robust data collection, management and analysis from a University-led dairy cattle project. Working closely with researchers across disciplines, you will integrate diverse datasets, conduct statistical analyses, and communicate findings to a range of audiences, including academic, industry and funders.

We are committed to the professional development of our colleagues. You will have access to excellent training opportunities, work within a supportive research environment, and gain experience in collaborative, impact driven research.

We would welcome requests for flexible working and, depending on the needs of the role, blended working opportunities to work remotely as well as on campus may be considered. The hiring manager will discuss the requirements of the role should you be invited to interview. This role is a full-time role from Spring 2026 until March 2028. There will be regular travel to and from the University Farms.

Please provide evidence of how you meet the essential criteria outlined in The Person section by uploading a cover letter along with your Curriculum Vitae (CV)

For informal enquiries about the role, please contact Dr Hannah Davis at

Key Accountabilities

Work as part of a research team to ensure robust data collection and data management for dairy cattle behaviour, physiology, emissions and production data


Develop and update standard operating procedures and protocols for data collection and analysis from a range of data systems (e.g. accelerometer, cameras, management systems)
Annotate animal behaviour from video footage in line with established protocols
Collate and manage datasets on dairy cattle health, production and emissions, ensuring data integrity and adherence to agreed procedures
Select and apply appropriate data cleaning, representation and validation methods
Conduct statistical analyses and model fine‑tuning using test results
Interpret findings in relation to dairy cattle behaviour, physiology, productivity and enteric emissions
Collaborate with a multidisciplinary research team to integrate and interpret diverse data types
Communicate research findings to funders and project partners
Write up and present research outputs for reporting, publication and wider dissemination

The Person

Knowledge, Skills and Experience

Strong statistical analysis and data handling skills


Understanding of data structures, data modelling and data management
Ability to write robust, reproducible code in Python or R
Experience writing academic publications independently and collaboratively
Experience integrating multiple datasets to support biological or behavioural inference
An understanding of animal behaviour, welfare or livestock production systems

Desirable

Experience annotating animal behaviour from video footage


Background or strong interest in dairy cattle welfare, nutrition, production or sustainability
Experience working with sensor-based data collected from animals
A full UK driving licence

Attributes and Behaviours

Ability to work both independently and as part of a team


Strong organisational and time management skills
Excellent written and verbal communication skills
Ability to work effectively in a diverse, multidisciplinary environment
Strong analytical and problem-solving skills

Qualifications

A PhD in a discipline related to data science or animal science for appointment at Research Associate


Submitted PhD related to data science or animal science for appointment at Research Assistant.

Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a Gold award in recognition of our good employment practices for the advancement of gender equality. We also hold a Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

In addition, we are a member of the Euraxess initiative supporting researchers in Europe. 

Requisition ID: 29168


#LI-SS1

Related Jobs

View all jobs

Principal Consultant, Advanced Analytics: Data Science and AI

Research Assistant/Associate in Data Science and Computational Neuroscience

Faculty in Data Science (Tenure Track/Tenured, Position # F1050A)

Faculty in Data Sciences - Critical Infrastructure and Data Transformation (CID) to Advance National Security

Data Science Faculty of Data-Driven AI in Special Education (Tenure Track/Tenured, F1051A)

Machine Learning Researcher

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.