Junior Risk Modeller

DNV Energy Systems (ES) is seeking a Modeller to join our Plant Analytics team in Software Engineering which is responsible for a diverse range of software including market-leading QRA (Phast Safeti) and CFD (KFX and EXSIM) tools. The role will be based either in Stockport UK or in Trondheim Norway. Other locations could be considered for the right candidate.

Two of DNVs key strategic growth objectives are focused on digital transformation and energy transition and these strategic objectives are reflected in the development priorities across our product lines.

Software Engineering is responsible for driving the technology strategy for the software business and for developing world class domain heavy software which is offered in multiple channels and through multiple platforms (desktop hosted Software as a Service). Software Engineering consists of approximately 300 staff in five Software Engineering departments and one common Centre of Enablement.

The position will report to the Head of the Plant Analytics team in Plant Software Engineering.

This role offers a unique opportunity to contribute to one of the worlds foremost software teams specialising in quantitative safety applications. Youll work on meaningful technically challenging projects that have real impact.

We are building a forwardlooking team with a strong focus on the energy transition and digital this position you will play an important role in driving innovation and supporting the industrys shift toward a safer more sustainable future.

You will work alongside a passionate group of modelling and software development experts who thrive on creativity collaboration and continuous improvement. Together youll help shape the next generation of safety software solutions.

Tasks may include:

• Daily work with modelling and development of the Plant software tools across a range of consequence and risk models. This includes modelling and development of features for energy transition challenges related to hydrogen ammonia CO2 and LNG
• Working closely with industry partners including through JIPs for future development of Plant QRA and CFD tools and the integration and alignment of those tools
• Contribute to advanced advisory services
• Work with digital transformation for instance developing cloud applications for KFX EXSIM Phast and Safeti
• Support in 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 articles for journals and conferences

We encourage candidates who have recently or will soon graduate with a PhD or Masters degree or with a few years post-graduate experience to apply for the position.

• Attractive total compensation package.
• International working environment.
• Flexible working hours and focus on work/life balance.
• A strong company culture focused on inclusion collaboration and innovation.
• The chance to actively contribute to the global energy transition.
• To be part of a world-leading company that has a global reach with more than 15 000 employees around the world.
• The possibility to grow and develop your competencies and ambitions within DNV.

• PhD or Masters degree in Mechanical or Chemical Engineering Mathematics Physics or another relevant scientific or engineering discipline
• 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
• A flexible and can-do attitude to take on work outside existing competencies according to market requirements
• Practical experience in developing innovative mathematical models of physical systems to solve real-world problems
• Excellent problem-solving and analytical skills
• Experience with high-performance computer languages such as C C and Fortran
• Excellent collaboration written and verbal communication skills
• Experience in CFD modelling for turbulent flow combustion or numerical heat and mass transfer is an advantage.