Wissenschaftliche Mitarbeiter/in m/d/w im Bereich „KI/Data Science Kriminaltechnische Analytik“
Core
Develop and implement AI/ML solutions for forensic analysis of material and trace evidence to support criminal investigations and expert reports.
Role type
Senior IC machine-learning engineer (forensics)
Builds
Production ML models and data analysis tools for forensic trace evidence
Domain
Forensic science / Criminalistics / Data Science
Deliverable
production ML models
Required skills
Machine learning, data analysis, statistical methods, Python, large-scale heterogeneous dataset processing, pattern recognition, model validation, explainable AI
Preferred skills
Explainable AI, high-dimensional data analysis, multivariate statistics, feature engineering, knowledge of EU AI Act and data protection regulations
Technologies
Python, NumPy, Pandas, Scikit-learn, PyTorch
Responsibilities
Plan, conceive, develop, implement, and coordinate AI solutions for forensic trace analysis; process large heterogeneous datasets (measurement, image, text) with scientific rigor; develop ML methods for complex instrumental data evaluation; analyze workflows to derive automation potential; manage interfaces between IT and forensic departments; represent German forensic interests in international AI groups.
Seniority
Senior, hands-on IC
