Geospatial Modeling – Who Needs Engineers
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3232Research Assistant – Deep Learning
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/research-assistant-deep-learning/
Mon, 23 Sep 2024 19:20:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/research-assistant-deep-learning/Research Assistant – Deep Learning
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