Job Description:

Join a dynamic team at a modern and family-friendly university located in the vibrant city by the sea. We are looking for a dedicated Research Assistant to explore the innovative field of deep learning, specifically focusing on environmental modeling. As a Research Assistant, you will immerse yourself in cutting-edge research that aims to develop novel methods for training foundation models on diverse and multi-modal environmental datasets. Your work will contribute significantly to understanding the complex dynamics of ecosystems, particularly marine systems like the Baltic Sea. Collaborate with a team of deep learning experts and engage with leading researchers from renowned institutions such as the Leibniz Institute of Baltic Sea Research and Dalhousie University in Canada. This position offers an excellent opportunity for scientific qualification and professional growth within an interdisciplinary environment.

IT Languages:

• Python
• TensorFlow
• PyTorch

As a Research Assistant, your primary responsibilities will include conducting research in deep learning for earth systems, developing and applying methods for geospatial modeling, and collaborating with international partners.:

Investigate and advance foundation models applied to marine systems;; Develop and implement methods involving deep learning, transformers, and physics-informed neural networks;; Collaborate with local and international experts in marine research;; Publish findings in leading conferences and academic journals;; Supervise undergraduate and master’s students;; Organize and facilitate scientific events related to marine data science

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Machine Learning
• Geospatial Modeling
• Transformers
• Physics-Informed Neural Networks

Soft Skills:

• Analytical thinking
• Curiosity
• Self-motivation
• Team collaboration
• Effective communication

Qualifications:

• Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field with strong academic performance
• Proven experience in machine learning and programming, preferably in Python
• Demonstrated interest in applying machine learning techniques in environmental modeling

Years of Experience:

3

Location:

Europe

Job Benefits:

• Professional development opportunities
• Access to cutting-edge research facilities
• Collaborative work environment
• Flexible work arrangements

Working Conditions:

Full Time

Employment Type:

Temporary Contract

Company Culture:

• We promote an inclusive and innovative work environment that values diversity, collaboration, and the pursuit of excellence in research. Our team is committed to fostering a supportive atmosphere where all members can thrive and contribute effectively to scientific advancements.

Opportunities For Advancement:

• Potential for doctoral qualification, Networking with international research institutions, Opportunities to publish research findings

Visa Sponsorship:

Available