Job Description

The Bertin Group

is a steadily growing international high-tech company headquartered in France with a focus on CBRN, life science, optical systems and medical waste processing. The company focuses on the

development, production and maintenance

of high-tech products in these areas. More than 1000 employees at over 15 locations worldwide form the basis of our global success and guarantee the fulfillment of the highest quality standards for the use of our products in scientific and critical applications.


The German site

Bertin GmbH

, located in Frankfurt a.M. for 40 years, specializes in the development, production and maintenance of measuring devices for ionizing radiation. Our products for radioactivity measurement networks, radon measurement devices and other radiation measurement technology are used

worldwide

by industry, research and authorities, among others.

Job description

-------------------


Our R&D department is developing advanced AI-driven tools for environmental radiation monitoring. The goal of this project is to apply Artificial Intelligence (AI) algorithms to perform

smart and efficient analysis

of gamma spectra obtained from

environmental gamma probes

, enabling

automated nuclide identification

and improved decision-making in radiation monitoring.

Your Main Tasks:

Develop and apply AI/ML algorithms for gamma spectrum analysis. Implement and test intelligent models for nuclide identification. Analyze and interpret results to assess algorithm performance. Collaborate with a multidisciplinary team of physicists and data scientists. Document results and prepare demonstration materials or publications.

Profile

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Your Profile:

Strong understanding of

Artificial Intelligence

and practical experience applying AI methods (e.g., neural networks, pattern recognition, data classification).

Advantageous:

Knowledge of

radiation physics

,

radioactivity

, or

gamma spectroscopy

. Excellent analytical and problem-solving skills.

Self-initiative

and strong

self-organization

abilities. Very good command of

English

(written and spoken).

Candidates with backgrounds in one or more of the following fields are encouraged to apply:

Physics / Nuclear Physics / Environmental Physics Radiation Protection or Radiation Measurement Artificial Intelligence / Data Science / Computer Science * Related scientific or engineering disciplines