Top Research Jobs in Edinburgh

Conducts research on AI-enabled turbulence computation by designing, training, and releasing large neural network models for embedding and predicting high-Reynolds-number turbulent flows. The role applies graph neural networks, transformers, and dynamical systems theory, collaborating with academic researchers, industrial partners, and a major technology company. The position is full-time, fixed-term for 36 months, and includes opportunities for industrial collaboration and career development.

Research and analyze European gas and LNG markets, including fundamentals, pricing, infrastructure, trade flows, policy, regulation, and geopolitics. Develop commercially relevant market insights and outlooks, engage with clients, support presentations and events, and collaborate across energy research teams. The role focuses particularly on Northwest European markets, including Germany, the Netherlands, and Belgium, while contributing to coaching and team development.

Conduct research on AI risk, algorithmic assurance, and insurance. Develop mathematical, statistical, and computational methods to evaluate, price, monitor, and mitigate AI-related risks. Build reproducible code, simulations, benchmarks, and evaluation tools; publish findings; present at conferences and industry workshops; collaborate with academic and industry partners; and support workshops, reports, grant development, and stakeholder engagement.

Provide research grant management and support knowledge exchange/impact activities for the School of Economics. Liaise with Principal Investigators, support bid development, manage grant processes and systems, and work with the Business School team to enhance research culture and funding opportunities. Hybrid role requiring regular on-campus presence (approx. 40–60%).

As a Research Engineer Intern, you'll develop state-of-the-art LLM and multimodality models, optimize distributed training frameworks, and collaborate on the application of large models in business scenarios.

Support global steel alloys research by analysing molybdenum markets and modelling chromium extractive/refining assets. Produce publications, maintain Excel models, gather industry intelligence, engage clients, and support sales and consultancy activities.

Conduct climate and air pollution research using street-scale air-quality modelling, statistical analysis, emissions scenarios, and regional climate projections. Analyse environmental exposures, heat and co-occurring climate extremes, and their health impacts. Co-develop indoor heat-health warning systems and indicators measuring the health co-benefits of net-zero interventions. Collaborate across climate, built-environment, and health-science disciplines and contribute to publications.

Conduct mathematical and computational research on elastic and elasto-inertial turbulence in viscoelastic fluids. Develop and apply statistical and machine-learning methods to compare experiments with simulations, optimize simulation parameters, estimate polymer stresses, and investigate flow states across two- and three-dimensional regimes. Collaborate with researchers at the University of Edinburgh, University of Pennsylvania, University of Cambridge, and University of Vermont, with opportunities for international research travel.

Conduct research in engineering biology and medical mycology by developing a pan-fungal molecular bioimaging toolbox, including fluorescently labeled fungal pathogen strains. Lead computational and bioinformatic strain-engineering work, design and analyze experiments, and collaborate with experimental and computational scientists to investigate fungal biology, infection contexts, and antifungal resistance. The role also offers opportunities to develop an independent research project and contribute to grant applications.

Conduct experimental research on how changing light conditions affect Antarctic diatom population growth and silica uptake. Investigate the biogeochemical consequences for silica cycling in the Southern Ocean, contribute to the Polar Dawn project, support the wider research team, guide PhD students, and develop national and international collaborations and publications.

Monitor interventional clinical study sites per GCP/ICH: perform selection, initiation, monitoring, and close-out visits; manage recruitment, regulatory submissions, TMF/ISF documentation, CRF/data query resolution, site training, and escalate quality issues while liaising with study teams.

Lead patient recruitment, data capture, and follow-up for multi-centre international cardiovascular clinical studies. Coordinate site activities, work with investigators and project team, use NHS records, perform ECG interpretation, and ensure study delivery at the Royal Infirmary of Edinburgh and partner sites.

Support research into chromosome pairing and segregation by preparing tissue and chromosomes from embryonic stem cells or mutant mice and analysing samples using histology, immunostaining and in situ hybridisation. Perform sample preparation, staining, microscopy analysis and contribute to experimental workflows in a laboratory research team.

Provide clinical support for pregnancy-related research studies, working with the Edinburgh Pregnancy Research Team, NHS Lothian and biobank. Recruit and consent participants, deliver participant care from antenatal to postnatal stages per protocols and GCP, manage study workloads, maintain communication across teams, and ensure regulatory and safety compliance.

Support a multidisciplinary team to translate social science research on gender, self-harm and suicide into policy and practice. Organise public engagement events, produce accessible outputs (briefings, podcasts, infographics), write reports, and help monitor and evaluate project impact. Communicate findings to policy-makers, practitioners, and lived-experience audiences.

Support a feasibility study examining cardiovascular risk factors in autistic adults using wrist-worn accelerometers, sleep diaries and focus groups. Responsibilities include participant recruitment, wearable and diary data collection, qualitative and quantitative data analysis, and preparing outputs for publication under PI supervision.

Design, develop, test, and maintain scalable R Shiny applications for clinical data review, visualization, QC, and reporting. Build reusable modules and utilities (R, SAS, Python), integrate cloud data sources, validate to regulatory/GxP standards, optimize performance, perform testing, and support study teams.

Provides pathology subject-matter expertise for biomarker discovery, companion diagnostics, digital and molecular pathology, and translational research programs. Reviews literature and pathology standards, develops annotation guidelines, performs or reviews digital slide annotations, and quality-checks human- and algorithm-generated outputs. Guides AI/ML model design, training, validation, and interpretation while collaborating with pathology, histotechnology, data science, and client teams to ensure clinically meaningful and scientifically rigorous results.

Support research on ZHOUPI genes controlling programmed cell death and tissue breakdown in Marchantia polymorpha and other non-seed plants. Duties include plant transformation, molecular cloning, maintaining genetic stocks, conducting mutant screens, and supporting a PDRA while collaborating with related research groups.

Lead a project investigating how cell size affects cancer cell biology using mammalian cell lines. Build on recent findings coupling transcription and cell size, applying quantitative and interdisciplinary approaches. Conduct experiments, analyze data, and contribute to publications and the lab's research programme.

Coordinate Secretariat communications and engagement for the National Research Organisations Group. Draft and maintain content, support member and stakeholder liaison, organise meetings and events, manage shared trackers, inboxes and document libraries, and provide administrative support to working groups to increase NRO visibility.

Seeking a Staff or Principal Research Scientist to develop cutting-edge AI models and systems, with a strong emphasis on experimental design and full-stack research ownership.

As a Research Intern, you will contribute to original research in deep learning, design novel neural network architectures, and collaborate on projects with researchers.

The VP of Research, Machine Learning will lead the research direction for AI systems, focusing on intelligence design, evaluation frameworks, and advanced machine learning techniques while ensuring real-world applicability.

Lead statistician for complex clinical studies from protocol/SAP planning through reporting; develop sample size, modeling, adaptive/Bayesian designs; oversee statistical deliverables (SAPs, randomization, CSR contributions), advise on regulatory strategy, manage biostatistics projects and budgets, support BD and DSMB/DMC activities. Travel ~20%.