Working student (m/f/d) - Production/Petroleum Engineering

Stellenbeschreibung:

Job DescriptionRosenxt ist eine zukunftsorientierte Technologiegruppe - wir sind visionäre Architekten des Fortschritts mit Jahrzehnten an Ingenieurs-Exzellenz. Als ein privat geführter globaler Partner mit mehr als 650 Mitarbeitern schauen wir weit in die Zukunft, setzen auf Langfristigkeit und machen so aus Chancen erfolgreiche Geschäftsfelder. Wir sind technikbegeistert durch und durch, tauchen tief in die neuesten Technologien ein. Diese Expertise in verschiedensten Technologiebereichen wie Sensoren, autonome Robotik, KI oder fortschrittliche Materialien und unser stark ausgeprägter F&E-Mindset ermöglicht es uns, hochinnovative Produkte und Dienstleistungen für Kunden in anspruchsvollsten Umgebungen zu entwickeln, wie dem Unterwasserbereich, der Industrie, dem Bereich der erneuerbaren Energien oder dem Bereich der Anlagensicherheit in der Wasser- und Energieversorgung.
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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 advanced technologies for more efficient energy production. Our state-of-the-art flow measurement 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 pipeline-network simulation tools such as PROSPER, GAP or PIPESIM would be an advantage.
You communicate confidently in English, work in a structured and independent manner, and enjoy collaborating with others. xsxvtuf
You are eager to share knowledge, take responsibility and contribute your ideas within an agile, interdisciplinary team.