National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Research Associate in Quantitative Marine Ecology

Newcastle University
Newcastle upon Tyne
7 months ago
Applications closed

Related Jobs

View all jobs

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

Data Scientist

Artificial Intelligence Engineer - Agentic bioimage data platform

Artificial Intelligence And Machine Learning Engineer

Machine Learning Developer / Engineer

Natural Capital Data Scientist

 

Salary:£34,866 to £36,924 per annum

 

Newcastle University is a great place to work, with excellentbenefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

 

Closing Date: 04 November 2024

 

 

The Role

 

We are looking to appoint a Research Associate in Quantitative Marine Ecology to be part of the large interdisciplinary project ‘Stronger Shores - harnessing the power of nature’ (https://strongershores.com/about-us/) which is investigating nature-based solutions to better protect the United Kingdom coastline and associated communities from flooding, coastal erosion and climate change. 

 

The position will be focussed on exploring the cost-benefit of spatial ecosystem services associated with three foundational species (kelp, seagrass and native oysters, and the complex three-dimensional habitats they form) to provide nature-based coastal protection particularly focussed on preventing flood risk and preventing coastal erosion under future climate change. You will be expected to be familiar with spatial analyses (e.g., species distribution modelling), programming in the R or Python languages and to apply these to: 

  • Develop spatial estimates of abundance of foundational species (kelp, seagrass and oysters) under current and future climatic conditions (e.g., Gordó-Vilaseca et al., 2024).
  • Use data and findings from research across Stronger Shores to assess the value of current distributions of study taxa in providing ecosystem services such as flood risk and coastal erosion reduction (amongst others) and how these might change under future climate change scenarios (e.g., Rullens et al., 2022).
  • Use decision support tools to explore where active restoration is both feasible environmentally and may provide the greatest benefits from ecosystems services now and into the future through scenario testing co-developed with stakeholders.
  • Communicate outputs of analyses and socialise modelling approaches with stakeholders.

 

This is a fixed term position for 26 months.

 

For informal enquiries please contact Dr Fabrice Stephenson () or Dr Heather Sugden ().

 

Applications should be made through the Newcastle University jobs portal:https://jobs.ncl.ac.uk, where you are invited to provide evidence of how you meet the essential criteria required for the role outlined in ‘The Person’ by uploading a letter of application along with your Curriculum Vitae (CV).

 

Key Accountabilities

  • To develop spatial estimates of abundance of foundational species and associated ecosystem services
  • Work collaboratively with researchers and project partners to integrate data and findings from across Stronger Shores to assess the value of current distributions of study taxa in providing ecosystem services
  • To disseminate research results through appropriate media. This will include authoring or co-authoring papers for publication in high-quality academic journals
  • To contribute communicating outputs of analyses and socialising modelling approaches with stakeholders
  • Contribute to learning and development through the provision of documentation, training and advice 
  • Undertake relevant training and development activities in order to develop an awareness of own professional development needs
  • To prepare progress reports and presentations on research outputs for funding bodies and advisory committee as required
  • Any other duties within the scope and general nature of the grade which may be required

 

The Person
 

Knowledge, Skills and Experience

  • Experience in species distribution modelling
  • Experience in the use of decision support tools, e.g, spatial prioritisation analyses such as Zonation and/or Bayesian Networks
  • Experience programming in R (although experience programming in Python would also be considered)
  • Excellent written and oral communication skills
  • High level of problem-solving capacity

Desirable

  • Experience communicating complex scientific information in stakeholder meetings 

 

Attributes and Behaviour

  • Comfortable working both individually and have good team working skills
  • Capacity for original thought
  • Enthusiasm and a strong work ethic
  • Ability to interact with researchers and project partners with different backgrounds
  • Ability to communicate scientific results to a broad or non-specialist audience
  • Ability and willingness to work in interdisciplinary environments
  • Well-developed interpersonal communication skills that enable you to engage external and internal stakeholders and work effectively in a multidisciplinary team

 

Qualifications

  • An undergraduate degree (or equivalent) in a relevant science subject, such as biology, statistics, earth science, data science, geographical information systems
  • A Ph.D. in the field of marine ecology, data science, or a related discipline

 

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 silverAthena Swanaward in recognition of our good employment practices for the advancement of gender equality.  We also hold aRace Equality CharterBronze award in recognition of our work towards tackling race inequality in higher education REC.  We are aDisability Confidentemployer 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: 27702

National AI Awards 2025

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.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.