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PhD/Postdoc position (m/f/d): AI for Safety-Critical Systems

Otto-von-Guericke-Universität Magdeburg

39106 Magdeburg

Bewerbungsfrist: 2026-10-15

Overview

  • PhD/Postdoc position in AI for Safety-Critical Systems at OVGU in Magdeburg, subject to funding approval.
  • Autonomous Multisensor Systems (AMS) group focuses on sensor data processing and multisensor data fusion for autonomous mobility, robotics, and industrial automation.
  • Project: Adaptive Safety Switching and Uncertainty-Responsive AI; aims to ensure safe AI integration, quantify uncertainty, and enable safe mode switching in safety-critical systems.

Tasks

  • Conduct independent research on safe AI integration in safety-critical systems.
  • Coordinate with project partner and maintain regular communication.
  • Support project management and contribute to reports.
  • Document, publish, and present research findings.
  • Translate functional safety requirements into test scenarios and data needs.
  • Develop AI models for sensor-based classification of safety-relevant states.
  • Investigate uncertainty quantification methods.
  • Define operating states and safe switching strategies.
  • Explore physics-informed machine learning for safe operating regions.
  • Develop safety-envelope and runtime-assurance concepts for hybrid AI systems.
  • Investigate verification and validation methods for AI/hybrid concepts.

Requirements

  • M.Sc. or equivalent in Computer Science, Electrical Engineering, Data Science, Systems Engineering or closely related field.
  • Good knowledge of ML, signal processing, data analysis; programming in Python and/or MATLAB.
  • Excellent written and spoken English; German is an advantage.
  • Ability to conduct independent research and work in an interdisciplinary team.
  • Strong interest in AI, sensor data processing, and safety-critical systems.
  • Willingness to publish and present research findings.
  • Knowledge of system identification and modeling; signal and sensor data processing and filtering techniques.
  • Experience with ML, including probabilistic models; knowledge of uncertainty quantification methods.
  • Familiarity with state estimation, safety-critical systems, or verification/validation is advantageous.
  • Opportunity to pursue PhD with supervision and mentoring.

Benefits

  • Opportunity to pursue a PhD with academic supervision and mentoring.
  • Supportive, collegial team with open communication.
  • Graduate Academy programs for personal and professional development.
  • Excellent working environment with campus facilities (canteen, education, sports, childcare).
  • Attractive TV-L pay package (TV-L pay group 13) with VBL occupational pension and 30 days of vacation per year.
  • Sustainability, diversity, family support, and staff development initiatives.
  • Location in a central, family-friendly capital city with high quality of life.

Conditions

  • Contract duration: 24 months.
  • Full-time position (100%).
  • Location: Magdeburg, Germany.
  • Salary according to TV-L pay scale (pay group 13) with occupational pension (VBL).
  • Start date: as soon as possible.

Application

  • Please submit a complete application (motivation letter, curriculum vitae, graduation certificates, references).
  • Application deadline: 15 October 2026.
  • Application portal: online application portal (www.ovgu.de).

Contact

  • Prof. Benjamin Noack (contact for more information).

Additional information

  • OVGU is a signatory of the German Diversity Charter and promotes gender equality in all professional areas.
  • Personal data storage information: link provided in posting.

Originalausschreibung und Bewerbung