Open Postion: Postdoc in Machine Learning

About the role

This call is closed. Hereon and Helmholtz Imaging are looking for a postdoctoral researcher in the field of machine learning.

Responsibilities

• Analysis of experimental and digital processes in membrane research
• Design and implementation of machine learning architectures for the evaluation of large scientific datasets
• Advancing existing machine learning models
• Combination of machine learning architectures with physico-chemical models
• Validation of results in collaboration with polymer membrane scientists
• Closing collaboration with other members of the COMPUTING project team
• Publishation and presentation of scientific results in journals and at international conferences and workshops

Requirements

The position is initially limited to 15 months due to the project’s funding, with a high chance for extension in further projects. The place of work is the Helmholtz-Zentrum Hereon in Geesthacht. Part of the work can be conducted via home office.

Qualifications

• Professional Profile:
• Scientific university education and PhD degree in data science, computer science, physics, engineering or related disciplines
• Very good coding skills in Python
• Profound knowledge of Python machine learning libraries (e.g., Keras, PyTorch or TensorFlow)
• Experience in Artificial Neural Networks and Kernel-Ridge-Regression / Support-Vector-Machines
• Experience in statistical methods and methods of data science
• Background in object-oriented programming
• Personal Profile:
• Systematic and goal-oriented way of working
• Sense of responsibility and a high demand for quality in your work
• Ability to tackle complex problems and think outside the box
• Joy of working in a small team and flexibility regarding the tasks involved
• Proactive communication skills
• Openness to an international and dynamic working environment in science
• Willingness to familiarize yourself with new topics, e.g. polymer chemistry and membrane technology

Skills

Fluency in spoken and written English

Benefits

• Excellent technical infrastructure and modern workplace equipment
• Varied offer in the canteen on campus
• Company holidays between Christmas and New Year’s Day
• Family-friendly company policy with childcare facilities, e. g. nursery close to the company
• Free assistance program for employees (EAP)

Pay

Not specified

Schedule

Not specified