Postdoc (F/m/d) / Scientific Assistant (F/m/d)

Vor 7 Tagen

Dresden, Sachsen, Deutschland Springer Nature Vollzeit

Postdoc (f/m/d) / Scientific Assistant (f/m/d) Helmholtz AI Machine Learning Scientist / Complete
:

  • Employer
  • Helmholtz Association of German Research Centres
  • Location
  • Dresden
  • Closing date 23 May 2024
  • Discipline
Computing
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia- You need to sign in or create an account to a job.

  • Job Details
  • Company

Job Details:

Area of research:

Scientific / postdoctoral posts

Starting date:

Job description:

Postdoc (f/m/d) / Scientific Assistant (f/m/d) Helmholtz AI Machine Learning Scientist

  • With cuttingedge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.


The Department of Information Services and Computing is the service, consultation and coordination centre for the Information Infrastructure of the HZDR.


The Department of Computational Science is looking for a
Postdoc (f/m/d) / Scientific Assistant (f/m/d) Helmholtz AI Machine Learning Scientist.


Your tasks
- # Creation, training, testing and comparison of modern Foundational models for the analysis of hyperspectral data (at best in a team with other partners in Saxony and all of Germany)
Research on current topics of image analysis or computer vision and generative AI with multi-modal data
Creation of reusable, reproducible and open tools for training, evaluation and inference of foundational models in the context of observation (mainly based on transformer architectures)

Profile:

- # Completed university studies (Master/PhD) in natural sciences, mathematics, earth and environment related fields or computer science (any other related field with a strong reference to the topic is also possible)
Relevant professional experience in the specified area
Proven ML/DL expertise and project contributions (publication in peer reviewed journals, contributions to open source projects or conferences is considered a bonus)
Good understanding of mathematical and algorithmic concepts such as transformer based based classification and regression (segmentation or domain adaptation)
Basic understanding of reproducible science and the principles for Open Science
Programming experience in Python
Experience with ML/DL APIs, libraries and frameworks such as pytorch, scikit-learn (experiences with transformers, diffusers are considered a bonus)
Self-motivation, Teamwork skills, tolerant and open character
Fluent in written and spoken English

Offer:

- # Scientific professionalism, networking and scientific excellence
Attractive working and research conditions in a highly motivated team
Interesting and varied tasks
Support of New Work onsite: Flexible working hours and the possibility of home office
Mutual teaching and time for further education
Salary and social benefits based on TVöD-Bund, including 30 days of paid holiday leave, company pension scheme (VBL)
Occupational health management
An employer subsidy for the "Deutschland-Ticket Jobticket"

  • This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation._

Company:

The Helmholtz Association contributes to solving major challenges to assure the future of our society.

With more than 39,000 people on staff in 18 national research centres, the Helmholtz Association is Germany's largest scientific organization.

The name Helmholtz stands for concerted research in which networks form the key principle behind inquiring thought and action. Concerted research is efficient and flexible.

The profile of the Helmholtz Association
The Helmholtz Association performs cutting-edge research which contributes substantially to solving the grand challenges of science, society and industry.

To succeed in meeting these responsibilities, Helmholtz concentrates its work in six research fields:
Energy, Earth and Environment, Health, Key Technologies, Matter, as well as Aeronautics, Space and Transport. Within each of these fields, research programs are developed by our scientists and regularly evaluated by renowned international experts. Their evaluation forms the basis for the programme-oriented funding that is allocated to Helmholtz research.

Within the six research fields, Helmholtz scientists cooperate with each other and with external partners - working across disciplinary, organizational and national borders.


Promoting young academics


Helmholtz scientists, a high-performance infrastructure and modern and efficient research management are the ingredients to the Helmholtz Association's success and global impact.

Promoting young researchers is a major priority for the Helmholtz Association. Its qualification schem

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