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Are you interested in developing a career in research in the field of ‘Data Analytics’ in a world leading research environment? We are looking for experienced researchers to join NPL’s Data Science department. You will be given the opportunity to grow your expertise allowing you to develop solutions to advance our research. When commercial opportunities arise, your work will be directly supporting UK Industry, creating new products and services to solve real world challenges. At NPL, we learn from each other, respect each other, and work together to satisfy our customers. We encourage applications from individuals who can bring fresh perspectives to our work.

To be successful in the role you will enjoy working within a multi-disciplinary research team. You will develop new knowledge and skills as you find solutions to National Challenges. The knowledge you gain will then be shared with colleagues, collaborators and the scientific community. You will be expected to act as an ambassador for the Data Science Department to build new collaborations across NPL, academia and industry, nationally and internationally.

We are looking for experienced researchers in the field of Data Analytics, covering digital health, biomedical signal processing, image analysis, uncertainty quantification and machine learning. We offer a great work environment, hybrid working, competitive salaries, a wealth of career opportunities and a wide range of benefits.

You will be working in a diverse and growing team on a range of Data Analytics projects, mainly to address specific challenges within the Digital Health sector but will also at times work on projects across different science and industry domains. Typically, you will have to work on several projects and the ability to manage your time is essential.

Some examples of projects you may be involved in include:

• Signal processing involving photoplethysmography and other physiological signals, such as ECG and data from wearables.
• Uncertainty quantification for machine learning
• Simulation, image and data analysis and uncertainty propagation
• Digital infrastructure for medical and clinically relevant research, including hosting, storage, curation and harmonisation of data
• Assessing image-based AI tools for detecting disease and interpretability of model outputs

• Scientific/Engineering problem-solving skills.
• Degree in Mathematics, computer science or a science/engineering discipline.
• PhD in Mathematics, computer science or a science/engineering discipline or equivalent research experience in academia or industry.
• Proficiency in at least one data analytics language such as Python, MATLAB, Java, C++, R,etc.
• Ability to manage your own workload.
• Working in a cross-disciplinary environment.
• Experience and a working knowledge of machine learning methods would be desirable for certain projects

The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK.

NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme.

At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we hold memberships and accreditations to ensure we’re creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page.

We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success.

To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us.