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, CO2 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

We value all our people and the contributions they make to our business, so it’s important that our rewards make us all feel valued here. That’s why we offer a flexible reward and benefits package, allowing you to choose the things that matter most to you, including;

• Excellent development and career progression opportunities
• Lifestyle benefits: 26 days annual leave + bank holidays, opportunity for up to 10 days unpaid leave, sabbatical leave, flexible working options
• Wellbeing benefits: (inc Private Medical, Dental Insurance, Health Assessments, Gym allowance). Company contribution towards eye tests and glasses (for computer/laptop users), and Flu Vaccinations. Also, our Employee Assistance Programme (EAP) provides free and confidential support for issues including work, family, relationships, money and health and we provide free fruit in our offices
• Financial Benefits: including a Pension Scheme with employer pension contributions up to 9%, Life Assurance and Income Protection
  Travel benefits: Season Ticket Loan, Cycle to Work Scheme, Electric Vehicle Salary Sacrifice Scheme (for personal use)
• Non-contractual profit share scheme
• Re-imbursement of relevant Professional Membership Fees (up to £570)
• Access to employee retail discount site for high street and on-line shopping

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.