Job Information
- Organisation/Company: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Offer Description
Area of research: PHD Thesis
Job description: PhD position in Data Science/Bioinformatics for Marine and Arctic Biodiversity (f/x/d/m)
Background
Long-term monitoring of marine and Arctic ecosystems generates large volumes of biological and environmental data, but current analysis methods only partly capture the information they contain. This project, part of the Helmholtz School for Marine Data Science (MarDATA), will develop new data science methods to improve the interpretation of biodiversity patterns from long-term Arctic and marine monitoring data, building on an extensive existing data archive.
The position offers the opportunity to pursue a doctoral degree as a member of the Helmholtz School for Marine Data Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (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/.
Your Tasks
- Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
- Work with large-scale biological and environmental datasets (sequencing data, eDNA)
- Contribution to method development in close collaboration with the supervision team
- Publication of results in peer-reviewed journals and presentation at conferences
Your Profile
- Master’s degree (e.g. MSc) in computer science, (bio)informatics, or a closely related field, ideally with a focus on AI or data science
- Strong interest in ecological questions
- Experience in the application of various ML algorithms, including supervised algorithms for environmental predictions, as well as unsupervised algorithms for clustering and LLMs/Transformers
- Experience with sequence data analysis
- Experience in harmonising and compiling real-world datasets from diverse sources
- Experience using Python and its related libraries for data processing, exploration, and analysis
- Very good command of English (approximately equivalent to CEFR level C1) and the ability to work in an international environment
- Willingness to participate in national/international travel (e.g. conferences, workshops)
Further Information
We offer
- Excellent research environment with access to globally unique infrastructure, comprehensive datasets, and international expeditions
- Opportunity to develop and pursue independent scientific ideas and innovative research approaches addressing societally relevant questions
- Close scientific collaboration and interdisciplinary cooperation within the institute as well as with national and international partners
- An international working environment with daily interaction with colleagues from around the world
- Opportunities for professional and personal development
- Flexible working hours and the possibility of mobile working for up to 50% of regular working hours
- Annual special payment in accordance with the German public sector collective agreement (TVöD Bund)
- 30 days of annual leave (full-time), plus additional days off on December 24th and 31st
- Occupational health promotion and company fitness programme with Hansefit
- Support services and an established culture promoting work–life balance, e.g. through our family office offering childcare services (e.g. holiday programmes) as well as advice on family and care responsibilities
- Occupational pension scheme (VBL)
AWI values diversity and actively promotes gender parity, as well as an open, inclusive environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of belonging. We welcome applications from qualified people regardless of binary and non-binary genders, race and nationality, ethnic and social background, religion, age, disabilities, neurodivergence, sexual orientation, and other identities.
Applicants with disabilities will be given preference when equal qualifications are present.
We strongly encourage qualified women to apply for the advertised position at AWI to reduce the underrepresentation of women.
AWI fosters work-family compatibility in various ways. And as a new international member of our team, you can be sure that we will help you settle in. Our Family Office and International Office will be glad to support you, even before you start at AWI.
This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.
Where to apply
E-mail: personal@awi.de
Website: https://recruitingapp-5442.de.umantis.com/Vacancies/2225/Description/2?lang=eng
Requirements
Additional Information
Website for additional job details: https://recruitingapp-5442.de.umantis.com/Vacancies/2225/Description/2?lang=eng
Work Location(s)
Number of offers available: 1
Company/Institute: Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Country: Germany
City: Bremerhaven
Contact
City: Bremerhaven
Website: http://www.awi.de
Street: Am Handelshafen 12
Postal Code: 27570
E-Mail: info@awi.de
Phone: +49 471 4831-0
Fax: +49 471 4831-1149
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