Research & Development (R&D) Engineer - Structural Health Monitoring, Risk-informed Reliability, Big Data Technology ...

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Esbjerg

Research & Development (R&D) Engineer - Structural Health Monitoring, Risk-informed Reliability, Big Data Technology & Machine Learning

We invite you to bring your passion, curiosity, positive energy and technical skills into play as you contribute to the further development of Ramboll’s True Digital Twin technology and structural risk-informed reliability methods for supporting data-driven decision making. You will be a part of a highly skilled team, who is working with R&D of Ramboll’s True Digital Twin technology combining Structural Health Monitoring Systems (SHMS) with novel Big Data Technologies, all in a probabilistic framework.

Your role will primarily be to participate in the research and development (R&D), however, some project related tasks must be expected. To succeed in this role you must have knowledge of structural engineering and data analysis and have a proactive and global mindset. Are you our new R&D Engineer for True Digital Twins and Structural Risk-informed Reliability methods? If yes, click the apply-button and send your application as soon as possible.

Inviting bright minds

Do you want to push the boundaries of your profession and develop your excellence in an open, collaborative and empowering culture? We work to create a sustainable future and our inspiring projects and innovative solutions aim to set the standard among our peers. You will join a global company that has been growing successfully since its founding in 1945. Together, we lead and leave a positive impact on societies, companies and people around the world.

You will join our Offshore Structures department

As our new R&D Engineer, you will be part of a specialized team of 7-8 people located in Esbjerg in a global department of more than 65 employees. The team works with innovative technologies like advanced structural analysis, Big Data Technologies, Machine Learning, Artificial Intelligence, Cloud Computing, Structural Risk-informed Reliability methods and future novel technologies.

The projects you will be working on are executed from the office and will often involve multiple specialists in different fields. We work for global customers and are often providing cutting-edge solutions to our customers; hence, the R&D is focused on solving the clients' pain. In the team, we believe in empowerment and being proactive and communicative. If you are passionate about R&D of novel technologies for structural analysis, data analytics and enjoy working with frontrunner technologies, this is the right job for you.

Your key tasks and responsibilities will be to:

  • Assist in the development of new tools for data-driven structural integrity management and decision making

  • Perform R&D of new methods for advanced structural analysis in a probabilistic framework

  • Perform R&D of big data analytics with the purpose of e.g. damage detection

  • Assist in programming/coding of new software in different programming languages


Your starting point for constant growth

From the moment you join Ramboll, we will support your personal and professional development, so that you grow with the company. For this role, it will be an advantage that you fulfil all or parts of the following qualifications:

  • PhD in Structural or Mechanical Engineering, preferably with some years of experience

  • Experience with structural FEM analysis, fatigue analysis, environmental loading, Structural Risk-based Reliability and Structural Risk-informed Reliability methods

  • Experience with vibration measurements, signal processing and SHMS

  • Experience with linear and non-linear Operational Modal Analysis (OMA), modal- and Ritz-based expansion for stress recovery (virtual sensing), environment load identification/calibration, Bayesian-based FEM updating and quantification of uncertainties (CoV, Bias)

  • Experience with Big Data Technologies, Machine Learning, Artificial Intelligence, Computer Science and Cloud computing

  • Experience with damage detection based on big data classification and clustering (Gaussian Mixture Models) and structured learning methods

  • Experience with software coding (MATLAB, Python, C++, Java)

  • Excited about working with innovative technologies and have a great passion to deliver high-quality results

  • Good communication skills in English, both oral and written


Personal qualities that will help you succeed in this role include: Strong programming and analytical skills combined with high professionalism in your attitude. You are a confident communicator, who has the spirit and drive to innovate and combine your strong technical background with practical solutions. Further, your extrovert personality thrives in a collaborative environment working with solving complex challenges.

Welcome to Ramboll Energy division

Ramboll is at the forefront of addressing the green transition and offers a holistic approach to energy that supports the sector on the journey towards more sustainable solutions. With 1,800 experts in 14 countries, covering the full spectrum of technologies and all parts of the value chain from production and transmission to distribution, we plan, design and implement energy solutions all over the world.

Ramboll world-wide

Ramboll employs 16,500 people globally and has especially strong representation in the Nordics, UK, North America, Continental Europe, Middle East and Asia-Pacific. We are present in 35 countries with 300 offices combining local experience with a global knowledgebase, constantly striving to achieve inspiring and exacting solutions that make a genuine difference to our clients, end-users, and society at large. Ramboll works across the following markets: Buildings, Transport, Planning & Urban Design Water, Environment & Health, Energy and Management Consulting.

In Denmark Ramboll employs more than 3,500 employees working across 13 offices. We invite you to contribute to a sustainable future working in an open, collaborative and empowering culture.

How to apply

Apply online. Attach your CV, cover letter, university diplomas (including grade transcripts) and other relevant documents showcasing why you are the right fit for the role, and when you are available to start. Please note that we will be arranging interviews on a rolling basis throughout the application period. We look forward to receiving your application.

Deadline: 1st February 2021.


Information og data

Denne ledige stilling har jobtypen "Forretningsudvikler", og befinder sig i kategorien "Kommunikation, marketing, salg".

Arbejdsstedet er beliggende i Esbjerg.

Jobbet er oprettet på vores service den 1.12.2020, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Forretningsudvikler
  • Esbjerg

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