Research Associate as PostDoc (m/f/d) or PhD student (m/f/d) in the field of bioinformatics 25/22

Hochschule für angewandte Wissenschaften Coburg; Coburg; Hybrid; EUR 45.000 - 70.000; Vollzeit

Zusammenfassung

An established institution is seeking a Research Associate or PhD student in bioinformatics to join an innovative project focused on imaging analysis using explainable AI. This role involves analyzing imaging datasets, implementing AI models, and applying statistical techniques to enhance AI detection capabilities. The position offers flexible working hours, collaboration within an interdisciplinary project network, and access to high-performance computing resources. Ideal candidates will possess a strong academic background in bioinformatics or related fields, along with proficiency in R and Python programming. Join a dynamic team committed to advancing scientific research and making a significant impact in the field.

Leistungen

Flexible working hours

Access to high-performance computing

Interdisciplinary project collaboration

IT support and administration

Qualifikationen

• Completed scientific degree in bioinformatics, computer science, or data science.
• Experience with imaging datasets and statistical analysis is essential.

Aufgaben

• Analyze imaging datasets and implement AI models using PyTorch or TensorFlow.
• Create R and Python scripts for analysis and statistical evaluation.

Kenntnisse

R Programming

Python Programming

Statistical Analysis

Machine Learning

Imaging Data Handling

Communication Skills

Teamwork

Ausbildung

Master in Bioinformatics

PhD in Bioinformatics

Diploma in Computer Science

Tools

PyTorch

TensorFlow2

Linux

Jobbeschreibung

Research Associate as PostDoc (m/f/d) or PhD student (m/f/d) in the field of bioinformatics

The Institute of Bioanalytics at Coburg University of Applied Sciences is seeking to fill a temporary position in imaging analysis using eXplainable AI. The project involves analyzing imaging data and developing explainable AI models to improve AI detection of specific objects. The focus is on applying various analysis tools, visualization, and processing techniques.

Your tasks:

1. Analyze imaging datasets
2. Implement AI models using PyTorch, TensorFlow2, or R alternatives
3. Create and apply R and Python scripts for analysis and statistical evaluation

Your profile:

• Completed scientific university degree (Master or Dipl. Univ.) in bioinformatics, computer science, mathematics, or data science
• Desirable: PhD in bioinformatics, computer science, mathematics, or data science
• Experience handling imaging datasets
• Proficiency in programming with R and Python
• Experience in statistical analysis
• Initial experience with machine learning methods
• Familiarity with Linux operating systems
• Knowledge of biometrics and biostatistics from a mathematical and computer science perspective
• Strong interest in scientific and application-oriented research and hypothesis testing
• High commitment, team skills, and good communication abilities
• Fluent in English; German skills are advantageous

We offer:

• Collaboration within an interdisciplinary project network with LABOKLIN, part of a BayVFP-funded project with access to biobanks
• Flexible working hours with options for extensive mobile working
• Access to a high-performance computer server for calculations
• IT support and administration

This full-time position (40 hours/week), limited until April 30, 2027, is based on employment with the Free State of Bavaria. Part-time work is possible. The position is classified in pay group 13 of the TV-L, suitable for both PostDoc and doctoral candidates.

Applications must be submitted online by 13.05.2025, including CV, certificates, and proof of professional background. Applications sent via mail or email will not be considered. For foreign degrees, a ZAB certificate evaluation is required: https://www.kmk.org/zab/zentralstelle-fuer-auslaendisches-bildungswesen/.

Severely disabled applicants will be given preference if equally qualified. Coburg University promotes gender equality and encourages women to apply.

Contact:

Prof. Dr. Janosch Hildebrand and Prof. Dr. Simm are available for questions at [e-mail] and [e-mail]. For administrative queries, contact Dr. Eva-Maria Wittmann at [e-mail].

Application Deadline:

13.05.2025

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