Physicist as Data Scientist​/Algorithm Developer field of Ultrasound

Physicist as Data Scientist / Algorithm Developer in the field of Ultrasound (all genders welcome)

Location: Lingen (Ems)

Data science refers to the extraction of knowledge from data. We achieve this through the use of the most modern tools from the areas of big data, high performance computing and artificial intelligence, especially deep learning. Our solutions in the area of predictive analytics allow the safe operation of critical infrastructures. An agile way of working and technological expertise enable us to master the greatest challenges.

You will become part of our self‑organizing teams, in which an exchange of knowledge with colleagues from different departments is inherent. We have the highest demands on ourselves to learn new things and to perfect old things. In this way, we are prepared for the future.

• Development of algorithms for the detection and classification of objects from data measured by our pipeline inspection devices
• Co-design and use of technological trends, for example in the areas of artificial intelligence, high performance computing, data persistence and processing, and big data solutions
• Collecting, preparing, processing and analyzing large heterogeneous data sources
• Development of algorithmic methods from the areas of signal processing, machine learning and computer vision as well as use of 3rd party components
• Provision of algorithms and intelligent services in the form of minimum viable products with a focus on customer experience
• Interdisciplinary collaboration in the integration of the algorithms into our software applications

• Degree or doctorate in information technology, physics, mathematics, computer science or a comparable field of study. Solid knowledge of applied mathematics (linear algebra, optimization methods, stochastics)
• Knowledge of at least one object‑oriented programming language (e.g. Python, C/C++ or Java)
• Methodological skills in the field of data mining and machine learning, in particular supervised and unsupervised learning
• Experience in algorithm development, for example for descriptive and diagnostic analyses, as well as with forecasting methods
• Basic knowledge of non‑destructive testing using ultrasound and experience in the subject areas of explainable artificial intelligence, MLOps and applied statistics desirable
• Experience in software engineering is an advantage
• Good written and spoken English language skills

• Development opportunities and career opportunities in a global, innovative and long‑term oriented group of companies with family character
• Flexible working time and Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Compatibility of work and family through our company‑owned bilingual day‑care center ROKIDS as well as our bilingual elementary school ROBIGS (optional: day care during the holiday)
• Employer funded pension and capital accumulation benefits
• Company Restaurant (only in Lingen) and fresh fruit available daily
• Various in‑house sports activities (EGYM Wellpass and other offers)
• Attractive leasing offers for IT products and bikes for private use
• Corporate Benefits – employee offers in changing online shops at top conditions

The ROSEN Group is a leading global provider of cutting‑edge solutions in all areas of the integrity process chain. Since its beginnings as a one‑man business in 1981, ROSEN has grown rapidly and is today a technology group that operates in more than 110 countries with over 4,000 highly qualified employees. ROSEN’s products and services include:

• Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness
• Customized engineering consultancy providing efficient asset integrity management
• Production and supply of customized novel products and systems
• Market‑driven, topical state‑of‑the‑art research and development providing “added‑value” products and services

For more information about the ROSEN Group, go to

Kerstin Lange
Recruitment