Professional competencies

• 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

Freelance Lecturers in AI, Robotics, and Data Analytics – BSBI, Berlin

We are looking forward to hearing from you!

Documents