Doctoral / Postdoctoral Position in Digital Twin - Geesthacht, Deutschland - Helmholtz-Zentrum Hereon

Helmholtz-Zentrum Hereon

Geprüftes Unternehmen

Geesthacht, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Beginn der Ausschreibung Ende der Ausschreibung Institut bzw.

Bereich- Institut für Küstensysteme - Analyse und Modellierung- Standort- Geesthacht- Bewerbermanagement- Frau Erika KrügerWe invite enthusiastic applicants to fill a PhD or PostDoc position in the area of Digital Twin Ocean (DTO).

A DTO system is built by combining state-of-the-art models and data fusion techniques, including Artificial intelligence (AI)-based approaches, to reproduce a coherent, high-resolution, multi-dimensional, and multi-variable representation of the ocean.

The DTO is a powerful tool to test different scenarios related to human uses and climate change impacts on the ocean environment, as well as possible solutions.

You will be part of a team focused on the development, implementation, and testing of DTO as part of the EU Horizon Europe Project EDITO Model-Lab(Underlying models for the European Digital Twin Ocean).

The main goal is to help build a public platform allowing advanced users and stakeholders to perform on-demand scenario simulations and climate impact studies.

The EDITO Model Lab project aims to make ocean knowledge available to citizens, entrepreneurs, policymakers, decision-makers and scientific experts alike, thus enabling them to become partners in knowledge generation, explore desirable futures and develop ocean management scenarios (and assemble their own twins), with the overarching goal of ensuring a safe, healthy and productive ocean.

The position is initially for 3 years.

Your tasks:

- scientific programming
- data processing
- support the development of tools for data and model output visualization
- integrate AI/ML-based techniques into data and model analysis

Whatif Scenarios in DTO

- write scientific publications

Your profile:

Master's degree or diploma degree (academic university degree) in mathematics, informatics, data science, environmental sciences, oceanography, physics, engineering, or related disciplines

- experience in ocean data manipulation and processing, either model, satellite or in-situ data products (e.g., NetCDF, CSV formats)
- experience in AI-based methods (e.g., machine learning) is desirable
- coding skills (e.g., MATLAB, Python, R, FORTRAN etc.)
- good skills in written and spoken English
- creativity and independence (excellent analytical and problem-solving skills), ability to work and communicate with an international team of scientists from different disciplines

We offer you:

- an exciting and varied job in a research centre with more than 1,100 employees from around 50 nations
- a well connected research campus and best networking opportunities
- individual opportunities for further training
- social benefits according to the collective agreement of the public service and remuneration
- an excellent technical infrastructure and modern workplace equipment

6 weeks holiday per year and company holidays between Christmas and New Year's Day

- very good compatibility private and professional life through offers of mobile and flexible work
- family-friendly company policy with childcare facilities, e. g. nursery close to the company
- free assistance program for employees (EAP)
- corporate Benefits
- a varied offer in the canteen on campus

Severely disabled persons and those equaling severely disabled persons who are equally suitable for the position will be considered preferentially within the framework of legal requirements.

Interested?