Your Responsibilities

• Conduct teaching and examination duties in accordance with the applicable examination and study regulations for students.

• Creatively design and develop instructional materials that enhance the learning experience and engagement of students.

• Revise, design, and develop new curricula for assigned modules as required, ensuring alignment with academic standards and learning outcomes.

• Develop and set examinations or other assessment instruments to ensure that written/rewritten examinations are provided alongside regular examinations at least two weeks prior to the conclusion of the semester or as specified.

• Grade written examinations and other assessment results within the deadlines stipulated by the Administration Office and submit the evaluated materials to the office promptly.

• Organize and facilitate the inspection of written examinations or other assessed performances.

• Actively participate in teaching evaluations by completing and submitting evaluation sheets prepared for each course.

• Supervise student dissertations, providing guidance and feedback, and assess and grade dissertations in accordance with academic standards.

Your profile

• PhD or PhD Candidate (in specific cases) with strong theoretical and practical knowledge in, at least, one of the following domains:

1. Machine Learning & Deep Learning

Supervised, Unsupervised, and Reinforcement Learning
Deep Neural Network Architectures & Optimisation
Production Machine Learning & MLOps Frameworks
Predictive Analytics: Classification, Regression, and Clustering

2. Data Science & Visualisation

Data Visualisation & Interactive Dashboard Design (Tableau/D3.js)
Visual Storytelling & Information Architecture
Full-Stack Data Engineering & Enterprise Data Warehousing
Big Data Analytics & Real-Time Stream Processing

3. Mechatronics & Electronic Systems

Mechatronic Systems & Electromechanical Integration
Electronic Circuit Design & PCB Prototyping
Embedded Systems & Firmware Engineering (C/C++)
Industrial IoT & Sensor Interfacing

4. Robotics & Control Engineering

Autonomous Robotics & ROS 2 Development
Control Systems Theory & PLC Automation
CAD Modelling & Digital Twin Simulation
Computer Vision & Real-Time Image Processing

5. Artificial Intelligence & Emerging Tech

Natural Language Processing (NLP) & Conversational AI
LLM Orchestration & Generative AI Engineering
Blockchain Architecture & Smart Contract Development
Virtual/Augmented Reality & Metaverse Development

6. Systems & Infrastructure

Cloud-Native Infrastructure & Containerisation (Docker/K8s)
Cyber-Physical Systems (CPS) Security & Risk Management
Agile Technical Project Management & Operations Planning
Ethics and Legal Frameworks in Artificial Intelligence

• Prior teaching experience in higher education at University level

• Very good knowledge of Windows OS, of MS Office suite (Excel, Word, Outlook, PowerPoint) and Microsoft Teams

• Scientific publications in a related discipline

• Fluent in spoken and written English (C2 level)

• Knowledge of German (for Germany) is desirable

• Knowledge of Educational Platforms (i.e. Canvas, Blackboard etc.)

• Working knowledge of timetabling software

• Sound knowledge of study regulations and rules

Personal competencies

• Very good organizational and communication skills

• High social competence and assertiveness

• Maintaining an overview even with high workloads

• Entrepreneurial and economic way of thinking and working

• Resilient and flexible

• Motivated for further academic and professional development

Why us?

Interested?

Please ensure your application is submitted in English and includes the following documents: CV, Cover Letter, References, and your possible start date