PhD Data Science (m/f/d)

GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Kiel; Vor Ort; EUR 58.000 - 69.000; Vollzeit

Benefits dieser Stelle

Mobile working

30 vacation days + Christmas Eve/New年休

Company pension plan

Capital-forming benefits

Support for professional and personal.

Zusammenfassung

GEOMAR Helmholtz Centre for Ocean Research Kiel invites applications for a doctoral researcher in the Paleo-Oceanography group. The project focuses on spatial pattern mining and knowledge fusion to analyze cold-water coral ecosystems, leveraging machine learning and data science across large marine datasets.

The position is funded for 3 years, with a focus on cross-disciplinary collaboration between GEOMAR and Kiel University.

Qualifikationen

• Master's degree in computer science or data science is required or highly preferred.
• Strong programming and data evaluation/analysis skills.
• Excellent written and spoken English skills.

Aufgaben

• Develop integrated data analytics workflows using machine learning and data mining to integrate large heterogeneous databases.
• Develop scalable data-driven methods to identify correlation patterns for cold-water coral occurrences.
• Develop and evaluate novel machine learning techniques for predicting unknown coral occurrences.
• Prepare and publish scientific results in international journals and present at conferences.

Kenntnisse

Python

C++

Data analysis

English

Ausbildung

Master's degree in Computer Science or Data Science

Tools

FORTRAN

R

Jobbeschreibung

GEOMAR Helmholtz Centre for Ocean Research Kiel is a foundation under public law jointly financed by the Federal Republic of Germany (90%) and the State of Schleswig-Holstein (10%). It is one of the internationally leading institutions in the field of marine research.

Through our research and our commitment to the transfer of knowledge and technology, we contribute significantly to the preservation of the function and protection of the ocean for future generations.

The position offers the opportunity to pursue a doctoral degree as a member of the graduate school "Helmholtz School for Marine Data Science" (MarDATA). MarDATA is dedicated to training a new generation of "marine data scientists" by integrating expertise from computer science and mathematics into the field of ocean sciences. The school’s interdisciplinary focus spans supercomputing, modeling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https://www.mardata.de/.

Projection And Job Description

This project aims at the key technology for the identification of patterns and relationships across disparate heterogeneous datasets that fundamentally improve our understanding of cold-water coral growth and finally improve predictive analysis for coral growth and health. Ecosystem engineering scleractinian cold-water corals (CWCs) create biodiversity and carbon cycling hotspots in the world’s oceans Current climate change is putting these ecosystems under particular stress and therefore require mitigation and even restoration measures. However, the factors that favour and/or prevent the distribution and abundance of cold-water corals and their reefs are not defined at a satisfactory level and thus challenge future predictions on how these ecosystems will develop. In the last two decades tremendous efforts have been made to measure and monitor physical biogeochemical parameters of ambient water masses of cold-water corals ecosystems in order to determine their controlling factors. However, so far there has been no coordinated effort to integrate these data bases in order to fully constrain and explore all environmental boundary conditions of cold-water coral growth with the development of novel machine learning techniques. The doctoral researcher will work in close collaboration between Paleo-Oceanography groups of PD. Dr. Jacek Raddatz and Dr. Sascha Flögel at GEOMAR and the Data Science group of Prof. Dr. Matthias Renz at the Faculty of Engineering at Kiel University. The doctoral researcher will thus be directly integrated into two larger, interdisciplinary, and team-oriented research units, both at GEOMAR and the Institute of Computer Science at Kiel University.

The research unit Paleo-Oceanography of the Research Division 1 Ocean Circulation and Climate Dynamics is offering the following position in the project "Spatial pattern mining and knowledge fusion to analyse, understand and predict occurrences of cold-water coral ecosystems" starting as soon as possible, presumably on 01st January 2027.

Activities And Responsibilities Your Tasks

• Development of integrated data analytics workflows based on machine learning, data mining and data engineering to integrate extensive heterogeneous databases from regional to global scales
• Development and evaluation of scalable data-driven methods to determine correlation patterns and parameters that determine or even exclude the presence of cold-water corals in Earth’s Ocean basins
• Develop and evaluate novel machine learning techniques to identify/predict unknown cold-water coral occurrences
• Planning, writing and submitting publications of scientific results from computer science (data science) and oceanography in the international literature and presentations at international conferences.

Qualification profile

• Master's university degree ideally in computer science or data science.
• High programming skills (e.g. Python, C++) and data evaluation and analysis.
• Very good written and spoken English skills.

Desirable

• Teamwork skills, open-mindedness, scientific creativity, and determination
• Experience in machine learning or artificial intelligence, for example, pattern recognition or neural networks
• Experience in FORTRAN and R are appreciated
• Experience in physics, earth science, oceanography, or a related field.
• Experience in data-driven knowledge fusion
• Experience in analyzing large data sets
• Experience in scientific writing
• Previous knowledge of marine biogeochemistry and marine ecosystems

Benefits

• Good conditions for work-life balance: We offer, among other things, the possibility of mobile working and individual working time arrangements, vacation courses for the children of our employees, and good support in finding a place in a daycare center at the Kiel site
• Support services for professional and personal life situations
• An exciting work environment with the opportunity to provide important impetus for the development of sustainable solutions
• Exciting topics in an international environment
• Work in the field of marine and climate research, a forward-looking area with social significance
• Currently 30 vacation days + additional time off at Christmas Eve and New Year's Eve
• Corporate Benefits for employees
• Company pension plan and capital-forming benefits

The position is available for a funding period of 3 years.

The salary depends on qualification and could be up to the class 13 TVöD-Bund of the German tariff for public employees. This is a full-time position and cannot be split. Flexible working models are in principle possible.

GEOMAR Helmholtz Centre for Ocean Research Kiel seeks to increase the proportion of female scientists and explicitly encourages qualified female academics to apply. GEOMAR is an equal opportunity employer and encourages scientists with disabilities to apply. Qualified disabled applicants will receive preference in the application process.