Scientist (f/m/d), PhD position position on the development of automated segmentation and analy[...]

Internetchemie; Karlsruhe; Vor Ort; EUR 35.000 - 55.000; Teilzeit

Zusammenfassung

A prestigious German research university is seeking a part-time Scientist (PhD) to develop and apply algorithms for automated image segmentation and analysis of imaging datasets. Candidates must have a Master’s degree in a relevant field, with proficiency in programming and the ability to work in interdisciplinary teams. The role offers excellent working conditions, flexibility, and training opportunities.

Leistungen

Flexible working time models

Sports and leisure offers

Child and holiday care services

Monthly contribution to public transport

Qualifikationen

• Master's degree in a related field is required.
• Basic knowledge of quantitative image processing is preferred.
• Proficiency in programming languages necessary.

Aufgaben

• Develop algorithms for automatic image segmentation.
• Implement workflows for big data management.
• Conduct image analysis and statistical evaluations.

Kenntnisse

Image processing

Statistics

Big data management

Programming languages

Collaboration

Fluent English

Ausbildung

Master in computational physics, bioinformatics, computer science, or data science

Jobbeschreibung

Karlsruhe Institute of Technology (KIT) – the Research University in the Helmholtz Association creates and imparts knowledge for society and the environment. It aims to contribute significantly to mastering global challenges in energy, mobility, and information. About 10,000 employees of KIT cooperate in a broad range of disciplines in research, academic education, and innovation.

Scientist (f/m/d), PhD position on the development of automated segmentation and analysis of imaging datasets

Part‑time 75%.

Responsibilities

• Development and application of algorithms for automatic image segmentation
• Implementation of workflows for big data management and data integration
• Conduct quantitative image analysis and statistical evaluations
• Work closely with experimental partners to coordinate analysis and data requirements
• Dissemination of research results through presentations at internal seminars, workshops and international conferences, with particular emphasis on the publication of papers on the research topic in peer‑reviewed journals

The position offers the opportunity to pursue a part‑time doctoral degree.

Personal qualification

• A successfully completed Master in computational physics, bioinformatics, computer science, data science, or a related field
• Basic knowledge and ideally initial practical experience in quantitative image processing, statistics, and big data management
• Proficiency in programming languages and software tools
• Ability to collaborate in an interdisciplinary manner, particularly with industrial partners and research teams
• Fluent written and spoken English skills

Become a member of staff of the only German University of Excellence that conducts large‑scale research on the national level. Work under excellent working conditions in an international environment and be active in research and academic education for our future. Benefit from specific training when starting your job and from a wide range of further qualification offers. Use our flexible working time models (flexitime, work from home), our sports and leisure offers, as well as our child and holiday care services. We also pay a share of EUR 25/month in the Job Ticket Baden‑Württemberg. Enjoy a large variety of dishes, snacks, and beverages at our canteens.

We prefer to balance the number of employees (f/m/d). Therefore we kindly ask female applicants to apply for this job. Recognized severely disabled persons will be preferred if they are equally qualified.

Please apply online until November 16, 2025 using the vacancy number 422/2025 to Ms Gätcke, Karlsruhe Institute of Technology (KIT), Human Resources, Hermann‑von‑Helmholtz‑Platz 1, 76344 Eggenstein‑Leopoldshafen, Germany. For further information, please contact Prof. Dr. Weinhardt, email: [e-mail].

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