Research Associate (Postdoctoral Researcher) (m/f/d) n the Faculty 05/Geosciences, in the Depar[...]

University of Bremen; Deutschland; Vor Ort; EUR 50.000 - 60.000; Vollzeit

Zusammenfassung

A leading research institution in Germany is seeking a Postdoctoral Researcher in Geosciences to develop innovative machine learning methods for studying fluid–rock interactions. This full-time position offers a collaborative environment and a chance to engage in significant research impacting carbon storage and marine geochemistry. Candidates with a PhD and strong programming skills are encouraged to apply.

Leistungen

Annual bonus

Public-sector pension

30 days annual leave

Family-friendly working conditions

Support for professional training

Qualifikationen

• Completed academic university degree in Geosciences, Materials Science, Physics, or related.
• Solid knowledge of machine learning and data analysis.
• Experience in image processing or simulation of reactive processes is an advantage.

Aufgaben

• Develop AI approaches for integrating microscopy and simulation data.
• Apply ML to connect image data with reactive transport models.
• Analyze ML models for predicting reactivity processes.

Kenntnisse

Machine learning

Data analysis

Scientific programming (Python)

Image processing

Numerical modeling

Ausbildung

Doctoral degree (PhD)

Master's degree in relevant field

Tools

PyTorch

TensorFlow

Julia

Jobbeschreibung

Organisation/Company University of Bremen Department Faculty 5 – Geosciences Research Field Geosciences – Geology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 18 Dec 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full‑time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A255-25 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

At the University of Bremen, in the Faculty 05/Geosciences, in the Department of Mineralogy, a position is available starting as early as April 1, 2026, for a

Research Associate (Postdoctoral Researcher) (m/f/d)
Salary group 13 TV-L

with 100% of the regular weekly working hours (39.2 hours/week),
fixed‑term until March 31, 2028 (according to § 2 of the German Academic Fixed‑Term Contract Act — WissZeitVG),
for a maximum duration of 24 months.

The postdoctoral position is part of the EXCITE Network (www.excite‑network.eu) and is embedded in close collaboration with MARUM – Center for Marine Environmental Sciences at the University of Bremen.
The project focuses on the development and application of machine learning (ML) and artificial intelligence (AI) methods in computational mineral and materials science, particularly in the context of fluid–rock interactions.

This research contributes to an improved understanding of processes that are fundamental to carbon storage, energy transformation, and marine geochemical cycles.

Project Description

The goal of this project is to develop and apply innovative ML methods, particularly multi‑modal learning and physics‑informed machine learning (PINNs), to investigate reactivity processes between fluids and rocks across multiple scales.

The project combines experimental imaging data (e.g., 3D microscopy, µCT, VSI, spectroscopy, time‑resolved microscopy) with physics‑based reactive transport models to explore the controlling mechanisms of fluid–mineral reactions.

Key Responsibilities

• Develop and implement AI approaches for the integration of multimodal microscopy, imaging, and simulation data.
• Apply physics‑informed ML to link image data with physical models of reactive transport processes.
• Apply the developed methods to datasets on fluid–rock interactions in the oceanic crust, in collaboration with research groups at MARUM.
• Analyze how ML‑based models can improve predictions of reactivity and pore‑space evolution in, for example, oceanic basalts and related systems.
• Present results at international conferences and within the EXCITE network.

The project will contribute to the digital characterization and modeling of fluid–mineral systems in marine and geological contexts, providing novel AI‑driven tools for predicting geochemical reaction processes.

Requirements

• Completed academic university degree (Master’s or university Diploma) in a relevant field, e.g. Geosciences, Materials Science, Physics, Computer Science, Computational Science, or related disciplines, and a relevant doctoral degree (PhD).
• Applicants who are in the final phase of their doctoral studies will also be considered. Please note that submission of the doctoral certificate is mandatory for employment.
• Solid knowledge of machine learning, data analysis, and scientific programming (e.g., Python, PyTorch, TensorFlow, or Julia).
• Experience in image processing, numerical modeling, or simulation of reactive processes is an advantage.
• Strong interest in interdisciplinary research at the interface between AI, geoscience, materials research, and marine environmental science.
• Excellent written and spoken English skills and ability to work effectively in an international, collaborative environment.

General Information

The Faculty of Geosciences offers an excellent working environment, direct involvement in international research, and access to state‑of‑the‑art facilities.

Benefits

• Annual bonus (“Christmas payment”), regular automatic salary increases, and an additional public‑sector pension (VBL).
• A secure, diverse, and stimulating position in an open‑minded university.
• 30 days of annual leave and educational leave.
• A diverse, future‑oriented, and inclusive institutional culture.
• Support from a collegial, motivated team in a positive working atmosphere.
• Individual onboarding and opportunities for professional training and development.
• Family‑friendly working conditions with flexible hours (flextime) and options for remote work (subject to institutional policies).
• Free social and family counseling services.
• A comprehensive health management program, including discounted memberships for local sports clubs, gyms, and swimming pools (EGYM Wellpass).
• Access to a job ticket for public transportation.
• Numerous cultural and sports activities on campus.
• A variety of dining options in the university’s cafeterias.

About the University of Bremen

Open to unconventional approaches in research and teaching, the University of Bremen has maintained its character as a place of short paths for people and ideas since its founding 50 years ago.
With a broad range of disciplines, we combine outstanding performance and great innovative potential. As an ambitious research university, we are committed to research‑based learning and a strong focus on interdisciplinarity.

We actively and collaboratively shape scientific cooperation worldwide. Around 23,000 people study, teach, research, and work on our international campus.
In research, teaching, administration, and operations, we are strongly committed to the goals of sustainability, climate justice, and climate neutrality.

The University of Bremen is family‑friendly, diverse, and international. We therefore welcome applications from all qualified candidates regardless of gender, nationality, ethnic or social background, religion or belief, disability, age, sexual orientation, or identity.
We explicitly encourage qualified women to apply.
Applicants with disabilities will be given preference in cases of equivalent professional and personal qualifications.

Application Documents

Please send your application documents (cover letter including a statement of research interests, CV with publication list, and copies of Bachelor’s and Master’s certificates) in a single PDF file (please include the reference number A255-25) by 18.12.2025 via unencrypted email to: [e-mail]

or by post to:

University of Bremen
Faculty 05 – Geosciences
Office of Prof. Dr. Oliver Plümper
Attn: Angelika Rinkel
P.O. Box 330 440
28334 Bremen
Germany

Please note that no photographs should be included with your application documents.

Please submit copies only (no folders), as application materials cannot be returned. After completion of the selection process, all documents will be stored and destroyed according to legal requirements.

Expenses related to the application process cannot be reimbursed.

Where to apply

E‑mail [e-mail]

Work Location(s)

University of Bremen, Faculty 05 – Geosciences, Bremen, Germany