Mathematical Modeller

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

DNV is seeking a Mathematical Modeller to join our Plant Product Engineering team.

You will help develop mathematical and computational models used to understand the consequences and risks associated with hazardous events, supporting customers in making safer and better-informed decisions.

You will work with experienced modellers, scientists and software developers on our industry-leading quantitative risk assessment products, including Phast and Safeti. Your work will contribute to technically challenging areas such as fire, explosion and dispersion modelling, as well as emerging applications involving hydrogen, ammonia, carbon dioxide and LNG.

The role offers an opportunity to develop expertise in consequence and risk modelling while gaining practical experience of creating and maintaining commercial scientific software. You will be supported by experienced colleagues and given opportunities to build your technical, software and industry knowledge.

The preferred location is Manchester, UK, although other UK locations may be considered for the right candidate.

Tasks may include:

- Model development, implementation, testing and validation across a range of consequence and risk models. In addition, the on-going improvement or refinement of those models in response to customer needs.
- Modelling and development of features for energy transition challenges related to hydrogen, ammonia, CO 2 and LNG
- Work with software developers to integrate models into commercial quantitative risk assessment software, including Phast and Safeti.
- Work closely with industry partners and internal stakeholders on future development and alignment of models.
- Contribute to advanced risk advisory services by providing modelling domain expertise and advice
- Support for customer-facing activities, such as support and training of users and conference presentations
- Support the marketing team in delivering user conferences, webinars, marketing material, white papers etc.
- Writing and presenting papers for conferences and journals

#LI-Hybrid

We are looking for candidates who have completed (or are approaching completion) of a master’s degree or PhD in mathematics, physics, engineering or another relevant scientific discipline. We also welcome applications from more experienced applicants with a few years of relevant postgraduate experience.

You will ideally bring:

- A strong foundation in applied mathematics, physics or engineering .
- Experience/knowledge in relevant areas, such as fluid dynamics, heat transfer including radiation, thermodynamics, combustion including chemical kinetics, fire and explosion dynamics, and/or advanced mathematics.
- Excellent analytical and problem-solving skills.
- A flexible and can-do attitude to take on work outside existing competencies according to market requirements
- A demonstrated ability to develop innovative models and solutions to meet market and industry requirements.
- Good collaboration, written and verbal communication skills
- Scientific programming experience in C, C++, Fortran or another relevant language.
- Knowledge of consequence modelling or quantitative risk assessment.
- Knowledge or experience of computational fluid dynamics, turbulent flow, combustion, or numerical heat and mass transfer.

The following would be advantageous, but are not essential:

Depending on your career and experience to date, you may not have knowledge in all these areas. We are looking for someone with strong technical potential, an enthusiasm for learning and an interest in applying scientific knowledge to real-world safety challenges.

Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.