Simulation Specialist

at  Rambll

JOB DESCRIPTION

Are you well-versed in simulation models and software? Do you want to join a team working to drive the use of simulation data to inform decision-making in the intralogistics and automation sector? Then you might be our new Simulation Specialist!
Using data to understand current patterns and simulation models to predict future trends, we are working with our clients to develop highly automated and digitalised facilities that will enhance operational efficiency, reduce costs, and improve overall productivity in the intralogistics and automation sector. We are looking for an experienced colleague who wants to join us on our journey to scale up our services and become a key player in the field of logistics simulation.
We are a global team, working out of several locations in the Nordics. If this role sounds interesting and matches your profile, we are keen to get in touch with you, regardless of where you are based.

YOUR ROLE

As a Simulation Specialist at Ramboll, your primary responsibility will be to construct simulation models using FlexSim software. You will also be tasked with preparing input data and analyzing the output from the models. Concurrently, you will carry out the validation and verification of models, ensuring their accuracy by collaborating with interdisciplinary teams.
Your role requires you to be comfortable at presenting findings and recommendations to clients. Moreover, you are expected to contribute to the ongoing enhancement of our simulation methodologies and tools, and to keep them aligned with the latest trends and technological advancements in the industry.

Your main areas of responsibility will include:

• Development of simulation models, building simulation models to assess complex systems.
• Programming input to the simulation model (C, C++).
• Collaboration with colleagues in Logistics & Automation locally and globally.
• Capability of process-understanding and translating process and flows into models.

From the day you join Ramboll, we will support you in your personal and professional growth. We have identified the following experience and skills that we believe will help you succeed in the role:

• A relevant education that has equipped you with skills within simulation and programming.
• Several years of experience working with building simulation models (including coding, preferably C++).
• A data-driven, analytical approach to simulation.
• Proficiency in English.
• Experience and knowledge within logistics is preferred but not a requirement