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Remarkable people, trusted by clients to design and advance the world.
Wood is currently seeking a Modelling Engineer to join our Intelligent Asset group based in Houston, USA . This is an exciting opportunity to be part of one of the world’s largest engineering organizations, where innovation and sustainability are at the heart of everything we do.
Applicants must be authorized to lawfully work in the US without sponsorship from Wood, now or in the future
At Wood, we are united by our commitment to building a sustainable future. Our bold spirit drives us to lead the charge in transforming challenges into solutions. We foster a culture of curiosity, innovation, and collaboration—where making the impossible possible is part of our everyday mission.
We are looking for a self-motivated and technically skilled individual who can work independently to solve complex flow assurance and process engineering challenges using in-house proprietary technologies and industry-leading technologies. The ideal candidate will have strong experience in flow assurance and process engineering and a passion for applying simulation tools to real-world problems.
At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.
Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com
We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.