Postdoc in Machine Learning - Geesthacht, Deutschland - Helmholtz-Zentrum hereon

Helmholtz-Zentrum hereon

Geprüftes Unternehmen

Geesthacht, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Helmholtz-Zentrum Hereon

Institute of Membrane Research
The Institute of Membrane Research develops new membranes and processes for separation of substances.

State-of-the-art equipment and methods for the synthesis, characterization and processing of polymers as well as membrane preparation, module development, process piloting and modelling of separation processes are the focus of research.

Postdoc in Machine Learning

Reference code:
_ /PM 1

Commencement date:
as soon as possible

Work location:
Geesthacht (near Hamburg)

Application deadline:
August 14th, 2023

New membranes for the separation of substances are being developed with experiments and simulations at the Institute of Membrane Research.

In past years, the evaluation of large experimental datasets by means of machine learning has become increasingly important.

Within the project COMPUTING, we aim to uncover correlations between parameters and structures that remain hidden in individual experiments in order to advance the understanding of processing-structure-property-relationships of polymer membranes.

For this, we will establish machine-learning-based data evaluation methods for large sets of microscopic images and fabrication parameters. Developing novel machine learning architectures and modifying published methods will be a key task in this position.

The project is a collaborative effort with the Institute of Material Systems Modelling at Hereon and the HIP Service Unit 'Applied Computer Vision Lab' at DKFZ.

We are looking for a data scientist, computer scientist, physicist or engineer with a PhD-degree as soon as possible.

This 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.

Your tasks
- 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 your results in collaboration with polymer membrane scientists
- close collaboration with other members of the COMPUTING project team
- publication and presentation of your scientific results in journals and at international conferences and workshops

Your profile

Your 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 preferable
- fluency in spoken and written English
- experience with scientific methods, project planning, publications and presentations

German language skills are an advantage

Your 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 to 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

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 and remuneration according to the collective agreement of the public service
- 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 of 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?

Job Types:
Full-time, Part-time, Contract

Work Location:
In person