Rosenxt Group | Germany | 49xxx Wietmarschen-Lohne | Student job | Part time - flexible / Home office | Published since: 03.09.2026 on stepstone.de
Working student (m/f/d) - Production/Petroleum Engineering
Rosenxt is a future-oriented technology group - we are visionary architects of progress with decades of engineering excellence. As a privately run global partner with more than 650 employees, we look far into the future, rely on long-term viability and thus make opportunities for successful business areas. We are technologically inspiring, immersing ourselves deeply in the latest technologies. This expertise in a wide range of technology areas such as sensors, autonomous robotics, AI or advanced materials and our strong R & D minimum set allows us to develop highly innovative products and services for customers in the most demanding environments, such as the underwater sector, industry, renewable energy sector or plant safety in water and energy supply. Are you a forward-thinking student who is passionate about innovation and wants to create sustainable value? Do you enjoy getting to the bottom of complex challenges while staying close to practical applications? Then Rosenxt could be the right place for you. Rosenxt opens up a world of opportunities and offers students like you the chance to contribute to exciting, future-oriented projects. For our Upstream Optimization business area, we are looking for a committed
Working student (m/f/d) - Production/Petroleum Engineering for 12 to 20 hours per week 100% remote working possible
Upstream Optimization is an innovative business area within the Rosenxt Group. Since its spin-off in 2023, the team has focused on expanding into new business fields and developing technologies for more efficient energy production. Our state-of-the-art measurement flow sensor is a non-intrusive clamp-on system that collects extensive operational process data in real time. To analyse this data, we develop cloud-based software solutions that combine established signal processing algorithms with artificial intelligence. In our interdisciplinary, agile and autonomous teams, we turn innovative ideas into practical customer value.
Your Responsibilities Support the development of data-driven optimization solutions for gas-lift operations, production allocation and full-field production performance.
Contribute to models and algorithms that account for pipeline-network effects, operational constraints and interactions between wells and the reservoir.
Help improve gas lift design, injection-depth optimization and production-flow prediction.
Support the further development of virtual-metering and nodal-analysis tools to estimate production rates from operational data.
Assist with the automation, validation and quality assurance of engineering and operational data used in our optimization workflows.
Work closely with an interdisciplinary team to translate production-engineering challenges into practical, scalable software solutions.
Your Profile You are currently pursuing a Master's degree in Petroleum Engineering, Production Engineering or a comparable degree program
You bring solid programming skills in Python
First experience with production-system and-network simulation tools such as PROSPER, GAP or PIPESIM would be an advantage.
You confidently in English, work in a structured and independent manner, and enjoy collaborating with others.
You are eager to share knowledge, take responsibility and contribute your ideas within an agile, interdisciplinary team.
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Your tasks • Your profile • What we offer
Look forward to We take the time to involve you in our projects give and you meaningful insights into our work.
You will be supported and mentored by an experienced team.
You will become part of a motivated and highly qualified team.
You can adopt your professional development in a supportive environment.
Together, we tackle the challenges of the future and develop solutions with lasting impact.
You can find more information about the Rosenxt Group here: www.rosen-nxt.com
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Location
![]() | Rosenxt Group | |
| 49835 Wietmarschen-Lohne | ||
| Germany |
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