Research assistant in Monitoring & AI for the EU-funded project "Eastern Lights"

Fraunhofer-Gesellschaft; Bochum; Vor Ort; EUR 40.000 - 80.000; Teilzeit

Zusammenfassung

Ein etabliertes Forschungsinstitut sucht einen engagierten Forschungsassistenten im Bereich Monitoring & AI. In dieser spannenden Rolle werden Sie an der Entwicklung und Implementierung von KI- und ML-Tools für die Überwachung von CO2-Speichern arbeiten. Sie nutzen modernste Plattformen wie TensorFlow und PyTorch, um komplexe Datensätze zu analysieren und Methoden für die Echtzeit-Datenübertragung zu entwickeln. Diese Position bietet die Möglichkeit zur Promotion und fördert eine harmonische Arbeitsatmosphäre mit flexibler Arbeitszeitgestaltung. Wenn Sie an der Spitze der technologischen Entwicklung im Bereich der CO2-Speicherung stehen möchten, ist dies die perfekte Gelegenheit für Sie.

Leistungen

30 Tage Urlaub

Jahresbonus

Betriebliche Altersvorsorge

Kostenlose Parkplätze

Rabatt auf Deutschlandticket

Familienfreundliche Kultur

Soft-Skill-Training

Entwicklungsmöglichkeiten

Qualifikationen

• Abschluss in Geowissenschaften, Ingenieurwesen oder Physik erforderlich.
• Kenntnisse in numerischen Methoden und Programmierung sind von Vorteil.

Aufgaben

• Entwicklung von ML- und KI-Tools für die Überwachung von CO2-Speichern.
• Echtzeit-Datenübertragung und -verarbeitung zur Überwachung der Speicherbedingungen.

Kenntnisse

Machine Learning

Artificial Intelligence

Data Analysis

Numerical Methods

Programming (Python, Matlab)

English Communication

Ausbildung

University Diploma or Master's Degree in Geosciences, Engineering, or Physics

Tools

TensorFlow

PyTorch

Jobbeschreibung

The Fraunhofer Research Institution for Energy Infrastructures and Geothermal Energy IEG conducts research at seven locations in the fields of integrated energy infrastructures, geothermal energy and sector coupling for a successful energy transition. Our research institute conducts applied research, develops innovative technologies for public and industrial clients and translates these into marketable products and processes.

The EU-funded “Eastern Lights” project will drive risk mitigation in large-scale carbon capture and storage (CCUS) in Eastern Europe. CO2 transport and underground storage will be de-risked by developing monitoring strategies and validating approaches in test facilities. Demonstration of an economically viable decarbonization pathway for the (cement) industry in Eastern Europe.

In the Monitoring & AI department, you will be involved in the development and implementation of AI and machine learning (ML) tools for monitoring and operation of CO2 storage sites. Key responsibilities will include utilizing state-of-the-art ML platforms such as TensorFlow and PyTorch to process and analyze complex datasets related to CO2 transport and storage. You will develop methods for real-time data transmission and processing, ensuring efficient and accurate monitoring of storage site conditions. Additionally, you will be responsible for creating and refining a real-time demonstration interface that provides operational insights. As the project progresses, you will continuously enhance the ML models to adapt to more sophisticated data, ensuring the tools remain at the cutting edge of the field.

We are looking for a research assistant specializing in Monitoring & AI at our Bochum location.

What you will do

• Development and application of machine learning (ML) and artificial intelligence (AI) tools for monitoring CO2 reservoirs
• Use of TensorFlow and PyTorch to process and analyze data related to CO2 transport and storage
• Development of methods for efficient data transmission and processing
• Development of a real-time demonstration interface for operational insights
• Continuous improvement of ML models as more sophisticated data becomes available
• Support in the preparation of research proposals
• Preparation of publications (peer-review) and presentations in English
• Participation in administrative tasks
• Field data collection support

What you bring to the table

• Successfully completed university studies (university diploma or master's degree) in the field of geosciences, engineering or physics.
• Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab, Python)
• Very good written and spoken English skills

What you can expect

• There is the possibility of a PhD.
• Cooperation with national and international partners.
• In our institution you will find a harmonious and collegial working atmosphere with flat hierarchies, an informal working culture and trust-based working hours for free and self-determined time management.
• We live a family-friendly culture: sometimes family comes first - we know that! That's why we offer support services for balancing family and career.
• You will receive tailored soft-skill training and professional development to promote your potential and talents in the best possible way.
• Diversity is an important strategic goal at our research institution: we are actively committed to equal opportunities.
• Additional benefits: 30 days of vacation (one additional day of vacation on Christmas Eve and New Year's Eve), 39 hours / week (full-time), time off in lieu for overtime, annual bonus, company pension scheme, capital-forming benefits, corporate benefits with attractive company partners as well as free parking and a discounted Germany ticket.

The working time per week for the position is 29.25 hours. This position is also available on a part-time basis. The position is limited until 31.08.2028. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.

Interested? Apply online now. We look forward to getting to know you!

We will be happy to answer any questions you may have about this position:

If you have any questions about the application process, please contact

Phone [phone]

Telefon [phone]

Fraunhofer Research Institution for Energy Infrastructures and Geotechnologies IEG

Requisition Number: 78993 Application Deadline: 05 / 15 / 2025