Phd jobs in BelfastCrear alertas

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots complex biology questions and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Understanding of cell biology, genetics, biochemistry, and experimental methods #bio

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning #math

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Biologist (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Biology team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging biology problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots complex biology questions and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Understanding of cell biology, genetics, biochemistry, and experimental methods #bio

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for an expert Mathematician (part-time work from home) to help advance AI development. As a member of DataAnnotation’s Math team, you’ll be part of a growing community of over 100,000 experts who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include solving challenging math problems and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform. Benefits: • This is a full-time or part-time REMOTE position, • You’ll be able to choose which projects you want to work on, • You can work on your own schedule, • Give AI chatbots diverse and complex mathematics problems and evaluate their outputs, • Fluency in English (native or bilingual level), • Detail-oriented, • Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning #math

Job description Lead Data Scientist Location: Hybrid (Belfast) Eligibility: UK work authorisation required We're hiring a Lead Data Scientist to drive high-impact data and AI work while leading and mentoring a growing data science team. This role blends technical leadership, people management, and close collaboration with customers to deliver meaningful, data-led solutions. Why join? * Senior role with real influence over projects, people, and direction * Mix of leadership, hands-on problem solving, and client engagement * Flexible hybrid working and a strong, supportive culture What you'll be doing: * Leading delivery of data science and AI projects end to end * Acting as technical lead across customer engagements and solution roadmaps * Mentoring, coaching, and line-managing data scientists * Defining best practices and improving how data science is delivered * Shaping product direction and supporting pre-sales activity What you'll bring: * Proven experience delivering data science, ML, and AI solutions * Strong leadership skills and confidence working with customers * Solid background in Python or R, SQL, and modern ML techniques * Experience mentoring others in agile, engineering-led teams * Clear communication skills and a proactive mindset Nice to have: * Experience with GenAI, NLP, computer vision, or advanced ML libraries * Cloud-native or container-based development experience * MSc or PhD in a relevant discipline Interested? Get in touch with Justin Donaldson to apply or find out more. Skills: Ml AI NLP Python SQL

A leading research organization in the United Kingdom is offering a PhD position focused on developing optimized compact models for optical amplifiers.

The Ecologies of Governance project interrogates the emergence of inequality and the economic basis of rulership in early medieval, kin-based societies by undertaking multi-proxy and comparative analyses of the environment and agrarian regimes of some of the major and iconic royal landscapes of first millennium AD Britain and Ireland ( This Research Fellow will be a highly productive, ambitious and collaborative member of the Ecologies of Governance team, to be based in Archaeology and Palaeoecology at Queen's University Belfast and collaborating with teams based at Newcastle University and Cardiff University. They will carry out field work and analysis for case study royal landscapes that form the focus of the project, with primary responsibility for performing multi-proxy palaeoecological analysis, including palynology, diatoms, XRF and isotopic analysis, to detail wider ecological contexts and effects of regimes of exploitation. The successful candidate will have multi-proxy expertise cross-cutting these areas, while additionally, candidates with knowledge or expertise in biomarkers and/or metagenomics are encouraged to apply. The successful candidate will benefit from bespoke training and mentorship as appropriate, as well as state-of-the-art facilities including the 14CHRONO Centre ( and the Institute for Heritage and Environmental Science at QUB Successful applicants will have responsibilities in independent and directed research, supervision of technical analysis, assisting in the planning and day-to-day management of palaeoecological workpackages, related collaboration and outreach. Essential Criteria: A relevant PhD in Archaeology or closely cognate discipline. Key relevant experience as follows is essential: An established expertise and proven portfolio in multi-proxy palaeoecology research. Technical expertise in identification, sampling and analysis of XRF, Pollen, NPP, plant macrofossil and isotope data. Post-doctoral research experience in archaeological or environmental science. Proven ability to publish in national/international journals (commensurate with stage of career). Working effectively as part of a research team in the development and promotion of research project results. Please refer to the Candidate Information below for the full list of essential and desirable criteria. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.. This post is available for 30 months or to 31 October 2028, whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

About the job: Queen's Business School (QBS) at Queen's University Belfast is currently seeking to appoint an exceptional candidate to the post of Lecturer / Senior Lecturer in Information Systems / Operations Management / Operational Research. The appointed candidate will have the opportunity to shape and strengthen the future direction of QBS from both a research and teaching perspective. Our supportive research environment enables attendance at international conferences, facilitates the pursuit of high-quality publications and fosters meaningful engagement with non-academic stakeholders. The appointed candidate will also interact and work with colleagues whose research is internationally renowned for excellence and societal impact. About the person: Essential Criteria: A completed PhD (or very close to completion for Lecturer) in Information Systems / Operations Management / Operational Research or cognate disciplines. An established programme of research activity and dissemination of original, high-quality research in Information Systems / Operations Management / Operational Research in line with accepted norms for Lecturer / Senior Lecturer. A sustained track record of high-quality peer reviewed Information Systems / Operations Management / Operational Research publications as appropriate to norms for Lecturer / Senior Lecturer. Evidence of the ability and willingness to teach (for Lecturer) / significant experience of teaching and assessing (for Senior Lecturer) modules at university level in one or more of the following areas: Business analytics, Artificial intelligence, Machine learning, Cybersecurity, Data mining, Business applications of emerging technologies, Design thinking with digital technologies, and Blockchain technologies. Demonstrable ability to advance the teaching and research goals of QBS. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Ready to join our Commercial Digital Practice? We're seeking a Machine Learning Engineer to join the Data Science & Machine Learning team, where you'll design, build, and deploy intelligent systems that solve complex business problems across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. This isn't a research role or a support function - you'll own the full ML solution lifecycle from problem definition through production deployment. You'll work on systems that matter: forecasting models that inform multi-million-dollar decisions, agentic AI systems that automate complex workflows, and operational ML solutions that transform how enterprises run. Our clients are Fortune 500 companies looking for partners who can deliver, not just advise. The variety is real. In your first year, you might build an agentic demand forecasting system for a global manufacturer, deploy an intelligent knowledge processing pipeline for a financial services firm, and architect an energy grid demand simulation model for a utilities company. If you thrive on learning new domains quickly and shipping intelligent production systems, this role is for you! Your Role:Machine Learning Engineer Design and build end-to-end ML solutions -from data pipelines and feature engineering through model training, evaluation, and production deployment. You own the outcome, not just a piece of it. Develop both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar. Build financial and operational models that drive business decisions - demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises. Create production-grade APIs and services (FastAPI, Flask, or similar) that integrate ML capabilities into client systems and workflows. Implement MLOps practices-CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining to ensure solutions remain reliable in production. Collaborate directly with clients to understand business problems, translate requirements into technical solutions, and communicate results to both technical and executive audiences. The Profile We're Looking For: The skills/background you will need to succeed include: Education:Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience). Masters Degree or PhD preferred. Experience:2+ years of hands-on experience building and deploying ML solutions in production, not just notebooks and prototypes. You should have experience training models, putting them into production, and maintaining them. Background & Industry Experience:Consulting experience or a demonstrated ability to work across multiple domains, and to adapt quickly to new problem spaces. Experience inFinancial Services, Manufacturing, or Energy & Utilities industries would be preferred. Programming Skills:Strong Python and JavaScript experience, with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.), as well as proficiency with JavaScript web app development. Machine Learning Fundamentals Foundation: Supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate. Cloud Machine-Learning Platforms:Experience working with Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred. Data Platforms:Proficient with SQL, Snowflake, Databricks, or similar. You should also be comfortable working with large datasets and building data pipelines. Experience with LLMs and generative AI: Prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations. Client-Facing & Communication Skills:Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Onsite Engagement: The role is primarily based in Belfast, although you may travel to client sites periodically for critical, high-impact project milestones. This includes strategic kick-off meetings to build rapport, intensive design workshops for complex problem-solving, and crucial on-site support during the go-live phase. This blended approach ensures the efficiency of off-shore work is complemented by the invaluable connection of face-to-face interaction. Certifications: Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate (preferred). Preferred Criteria: Background in forecasting, optimization, or financial modeling applications. Deep Learning Frameworks:Experience with PyTorch, Tensorflow, fastai, DeepSpeed, etc. MLOps Tools Experience:MLflow and Weights & Biases Contributions to open-source projects or familiarity with open-source ML tools and frameworks. Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. In connection with your application, we will process your personal data in accordance with our privacy policy. Position Level:Associate or Senior Associate Skills: Python JavaScript Machine Learning SQL Snowflake Azure Databricks Benefits: Healthcare Dental Bonus Hybrid Travel Income Protection

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Ready to join our Commercial Digital Practice? We're seeking a Machine Learning Engineering Manager to join the Data Science & Machine Learning team, where you'll lead the design, development, and deployment of intelligent systems that solve complex business problems across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Remarkably versatile, our Managers also spend significant time mentoring junior staff on the engagement team - sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a research role or a support function - you'll own the full ML solution lifecycle from problem definition through production deployment, while leading and developing a team of engineers and data scientists. You'll work on systems that matter: forecasting models that inform multi-million-dollar decisions, agentic AI systems that automate complex workflows, and operational ML solutions that transform how enterprises run. Our clients are Fortune 500 companies looking for partners who can deliver, not just advise. The variety is real. In your first year, you might lead an agentic demand forecasting system for a global manufacturer, oversee an intelligent knowledge processing pipeline for a financial services firm, and architect an energy grid demand simulation model for a utilities company - all while developing the next generation of ML talent at Huron! If you thrive on learning new domains quickly, shipping intelligent production systems, and building high-performing teams, this role is for you. Your Role:Machine Learning Manager Lead and mentor junior ML engineers and data scientists, including providing technical guidance, conducting code reviews, and supporting professional development. Manage complex multi-workstream ML projects, including overseeing project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence. Design and architect end-to-end ML solutions, from data pipelines and feature engineering through model training, evaluation, and production deployment. Make key technical decisions and own the overall solution architecture. Lead development of both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar. Build financial and operational models that drive business decisions - demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises. Establish MLOps best practices - define and implement CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining standards to ensure solutions remain reliable in production. Serve as a trusted advisor to clients by building long-standing partnerships, understanding business problems, translating requirements into technical solutions, and communicating results to both technical and executive audiences. Contribute to practice development by participating in business development activities, developing reusable assets and methodologies, and helping to shape the technical direction of Huron's DSML capabilities. The Profile We're Looking For: The skills/background you will need to succeed include: Education:Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience). Masters Degree or PhD preferred. Experience:5+ years of hands-on experience building and deploying ML solutions in production, not just notebooks and prototypes. You should have experience training models, putting them into production, and maintaining them. Management & Mentorship:Experience leading and developing technical teams to include coaching, mentoring, code review, junior talent development, and performance management. Background & Industry Experience:Consulting experience or a demonstrated ability to work across multiple domains, and to adapt quickly to new problem spaces. Experience inFinancial Services, Manufacturing, or Energy & Utilities industries would be preferred. Programming Skills:Strong Python and JavaScript experience, with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.), as well as proficiency with JavaScript web app development. Machine Learning Fundamentals Foundation: Supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate. Cloud Machine-Learning Platforms:Experience working with Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred. Data Platforms:Proficient with SQL, Snowflake, Databricks, or similar. You should also be comfortable working with large datasets and building data pipelines. Experience with LLMs and generative AI: Prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations. Client-Facing & Communication Skills:Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Ability to lead client meetings and build trusted relationships with executive audiences. Onsite Engagement: The role is primarily based in Belfast, although you may travel to client sites periodically for critical, high-impact project milestones. Willingness to travel approximately 30% is required. Certifications: Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate (preferred). Preferred Criteria: Background in forecasting, optimization, or financial modeling applications. Deep Learning Frameworks:Experience with PyTorch, Tensorflow, fastai, DeepSpeed, etc. MLOps Tools Experience:MLflow and Weights & Biases Contributions to open-source projects or familiarity with open-source ML tools and frameworks. Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks. Equal Opportunity & Compliance Huron is an equal opportunity employer. We are committed to creating an inclusive and diverse workplace. All employment decisions are made without regard to race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or any other legally protected status. In connection with your application, we will process your personal data in accordance with our privacy policy. Position Level:Manager Skills: Python JavaScript Machine Learning SQL Snowflake Azure Databricks Benefits: Healthcare Dental Bonus Hybrid Travel Income Protection

About the job: This Postdoctoral Research Fellow position will lead the spatial modelling and habitat association components of the MOSAIC (Multi-disciplinary Ocean Sensing for Adaptive International Conservation) project, funded through PEACEPLUS and managed by the Special EU Programmes Body. Based in the School of Biological Sciences at Queen's University Belfast, the role sits within a dynamic marine ecology and conservation research group working at the interface of quantitative science and policy impact. The successful candidate will design and implement advanced geospatial and statistical workflows to analyse AUV and BRUV datasets collected along the Northern Ireland-Donegal Bay coastline. Using machine-learning and multivariate modelling approaches, they will quantify habitat associations of OSPAR-listed elasmobranchs and generate high-resolution predictive distribution maps. Outputs will directly inform cross-border marine spatial planning and conservation management, including the identification of critical habitats such as flapper skate egg-laying areas. The postholder will work closely with the Principal Investigator, project partners including the Loughs Agency, and interdisciplinary collaborators across ecology, oceanography and marine technology. In addition to producing policy-relevant geospatial products, the Fellow will contribute to peer-reviewed publications, technical reporting, and postgraduate supervision. This is an opportunity to apply cutting-edge quantitative ecology within a high-impact conservation programme, contributing to evidence-based management of vulnerable marine species in a transboundary context. About the person: We are seeking to engage a highly capable Postdoctoral Research Fellow with strong quantitative, geospatial, and analytical expertise to lead the spatial modelling activities of the MOSAIC Project. The ideal candidate will be an organised, independent, and collaborative researcher who can integrate advanced ecological understanding with rigorous data analysis. Applicants must: Hold a PhD (or equivalent) in Marine Science or a related quantitative discipline with a focus on elasmobranchs. Demonstrate experience in marine spatial and multivariate modelling of ecological or environmental datasets and proficiency in coding environments such as R / Python / Matlab; track record of peer reviewed publications. Have experience analysing AUV, BRUV or other marine video datasets; Demonstrate advanced GIS capability (ArcGIS Pro or QGIS) is essential, as is confidence in applying machine-learning approaches such as GAMs, Random Forest, or boosted regression models. Have understanding of benthic habitat mapping and spatial data standards (EMODnet, INSPIRE) Familiarity with OSPAR species ecology or JNCC/EUNIS habitat classification systems. Strong communication skills are required, including the ability to present spatial analyses effectively through maps, reports, and publications to scientific, stakeholder, and policy audiences. The successful candidate will be able to work productively within a cross-border, multi-institutional team, engaging closely with the Loughs Agency, project partners, and postgraduate researchers. We are looking for someone analytical, self-motivated, and able to manage complex datasets while meeting project timelines. A willingness to travel to coastal field sites and partner meetings across Northern Ireland and Donegal Bay is essential. This role suits a researcher committed to producing high-impact geospatial science that supports marine conservation and policy development. Willingness to travel to coastal field sites and partner meetings is required. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

About the job: Queen's Communities and Place was established in 2021 to foster stronger partnerships between communities and academia. Its primary goal is to address local challenges arising from poverty and deprivation through evidence-based approaches. Working closely with community partners across Belfast, QCAP delivers a co-produced programme of research that serves two key purposes. It provides an evidence foundation to advance the institution's civic mission while creating meaningful impact where it's needed most in the community. This focus of this role is to lead and develop the established research activities across the Community Health and Wellbeing Dimension within the Queen's Communities and Place (QCAP) initiative, ensuring successful delivery of the QCAP research, evaluation, and knowledge exchange programme. This role will focus on developing and implementing community-centric research methodologies that contribute to the implementation of a co-produced health and wellbeing strategy within the community. Manage strategic partnerships and engage with all stakeholders in a way that contributes positively to the ethos of QCAP. About the person: With a proven track record in securing and managing significant research funding, and a publication record in health, wellbeing and community research the successful candidate will demonstrate a high academic standing with a growing reputation in research within community health and wellbeing which will enable them to lead the research activities across the Community Health and Wellbeing Dimension within QCAP. They will lead on the development of community-centric research models and design and implement research methodologies that support community participation in health and wellbeing initiatives particularly within disadvantaged communities. Drive the development of a community Health Strategy, ensuring that community voices shape the trajectory of health inequalities and the consequences of these. Further existing work focused on mental health initiatives, substance use and the community well being kitchen Manage and supervise a team of post Doctoral researchers and PhD students providing project supervision as required. Manage Strategic Partnerships and Stakeholder Engagement, Contribute to Policy and Strategic Frameworks, Secure and Manage Research Funding, develop research proposals and funding bids to secure external funding from diverse sources, including ESRC, NIHR and other UKRI bodies. Maintain a high-quality publication record, focusing on community-driven research and its implications for health outcomes and equity, to confidently present research findings at conferences, community events, and through various media, including podcasts and social media, ensuring accessibility to both academic and lay audiences. Develop own workflow and appropriate work schedules independently, in order to meet targets and/or turnaround times. Organise and Chair stakeholder meetings, workshops, and events, ensuring effective communication and collaboration among partners. Oversee the effective use of project resources, including budget management and the allocation of staff time, to meet the objectives of QCAP's research agenda, in-keeping with the requirements of the QCAP Director Ensure the communication of complex and conceptual ideas reflects the level of understanding of different audiences, using a range of media. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.

MS/PhD in CE/EE/CS (or related field) with a focus on CPU architecture or microarchitecture. We’re seeking an experienced R&D engineer specialized in CPU architecture. Stay ahead of trends in CPU, memory, interconnect, and AI‑adjacent architectures.

A leading research organization in the United Kingdom is offering a fully-funded PhD position focused on the dynamics of interacting molecular motors.

PhD studentship focusing on the intersection of formal software verification and Large Language Model safety.

We are looking for a Data Analyst (PhD) with an advanced degree to join our team to train AI models. A current, in progress, or completed PhD is required.

Venture Science Doctorate: venture-creation PhD program (funded scholarship). Join to apply for the Venture Science Doctorate: venture-creation PhD program (funded scholarship) role at Deep Science Ventures. The world's first 3-year venture creation focused PhD program run by Deep Science Venture Co

Organisation/Company University of Edinburgh Department School of Physics and Astronomy Research Field Physics » Statistical physics Physics » Computational physics Physics » Biophysics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Apr 2026 - 23:59

A prestigious academic institution in the UK invites applications for a fully funded PhD position in agricultural sciences, focusing on sustainability modelling for livestock production.

We will have a number of fully funded Ph.George's, University of London, starting in autumn 2026, for UK or overseas students to work with our newly appointed staff members Andrea Guerrieri and Fedor Levkovich-Maslyuk.Andrea is interested in non-perturbative physics, from quantum chromodynamics to g

PhD Studentship in Electronics Engineering. The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as one of the world’s leading centres for additive manufacturing research and development, invites applications for

A prominent UK university is seeking a PhD candidate to research sustainable livestock production.

A prestigious UK university offers a fully funded PhD studentship in Electronics Engineering focused on Molten Metal Jetting technology.

A prestigious university in the UK is offering a fully-funded PhD position in the field of statistical physics as part of the MSCA Doctoral Network CAFE-BIO.

We are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending on the project choice/previous experience/interests, as a PhD student, you will gain hands-on expe

A leading academic institution in the United Kingdom seeks outstanding doctoral candidates for a project on optical wireless communications.The positions funded by Horizon Europe entail designing advanced communication systems and collaborating with world-class researchers.Candidates should hold a r

Organisation/Company University of Southampton Department Chemistry and Chemical Engineering Research Field Chemistry » Biochemistry Chemistry » Organic chemistry Chemistry » Other Biological sciences » Other Medical sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD

An innovative tech company in the United Kingdom is seeking a Data Analyst (PhD) to join their remote team.

Candidates should have strong backgrounds in data structures, artificial intelligence, and parallel computing, and preferably be pursuing or hold a PhD.

A leading research institute in the United Kingdom seeks motivated candidates for a PhD project focused on developing a novel synthetic phage platform aimed at eliminating pathogenic S.

A prestigious UK university is looking for two enthusiastic PhD candidates to engage in cutting-edge research on nanofabrication for advanced optical components.

Candidates are requested to apply for three PhD research projects that they are eligible for, in ranked order of preference, in a single application. Organisation/Company University of Edinburgh Department School of Physics and Astronomy Research Field Physics » Statistical physics Physics » Compu

Currently enrolled in or graduated from a PhD program.

A world-leading research-intensive university in the United Kingdom is seeking two enthusiastic PhD candidates to join a Marie Skłodowska-Curie Action doctoral training network focused on advancing nanofabrication technology.

Organisation/Company TESTMIND Research Field All Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 12 Mar 2026 - 12:00 (Europe/London) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research

A leading research university in the UK is offering an exciting PhD position focused on developing radiotracers for infection diagnosis.

A prestigious UK university is offering a fully-funded PhD position in biophysics, focusing on the development of active field theories.

A leading UK university offers a fully funded PhD position in Mechanical Engineering focusing on robotics, automation, and AI-enabled design.

A prominent UK university is offering two funded PhD positions within a collaborative European network focused on developing advanced coatings for orthopaedic implants.

A research organization in the UK is offering a PhD Fellowship aimed at enhancing the scope of research and development within the scholarly community.

Organisation/Company University of Reading Department School of Agriculture, Policy & Development Research Field Agricultural sciences » Zootechnics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar 2026 - 12:00 (Europe/Brussels) Country United Kingdo

PhD/Masters in a research based subject.

A leading UK university invites applications for a fully funded 36-month PhD position in sustainable livestock production.

This PhD research project at the University of York aims to develop a novel synthetic phage platform to selectively eliminate pathogenic S.

A leading UK university is offering a PhD position focusing on the impact of generative AI in facial identification.

A Master’s degree (or equivalent qualification) that formally entitles enrolment in a PhD programme is required by the expected start date. Applications will be assessed by a recruitment panel composed of the main PhD supervisor, co‑supervisors, and academic and research members of the FEATURE D

Entry-Level Insurance Role (PhD or MMath Graduates). I'm working with a leading Personal Lines insurer who are looking for an MMath/PhD Graduate to join their Pricing team.

Organisation/Company University of Reading Department School of Agriculture, Policy & Development Research Field Agricultural sciences » Zootechnics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Mar 2026 - 12:00 (Europe/Brussels) Country United Kingdo