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

GUS Germany GmbH; Berlin; On-site; EUR 50,000 - 75,000; Full time

Job summary

GUS Germany GmbH in Berlin is seeking a qualified professional to conduct teaching and examination duties in the domains of Machine Learning, Data Science, and Artificial Intelligence. Candidates should hold a PhD or be a PhD candidate, with prior teaching experience at the University level. The position requires strong knowledge in relevant technical areas and fluency in English, with a preference for knowledge of German. This role is essential for developing curricula and assessing student performance.

Qualifications

• Strong theoretical and practical knowledge in machine learning, data science, mechatronics, robotics, or AI.
• Prior teaching experience in higher education at the University level.
• Fluent in English (C2 level), knowledge of German is desirable.

Responsibilities

• Conduct teaching and examination duties in accordance with regulations.
• Develop and set examinations or assessment instruments.
• Grade written examinations and provide feedback.

Skills

Machine Learning

Data Science

Mechatronics

Robotics

Artificial Intelligence

Systems Engineering

Education

PhD or PhD Candidate

Tools

Tableau

Docker

Kubernetes

Job description

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

Professional Competencies

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

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

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

Mechatronics & Electronic Systems

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

Robotics & Control Engineering

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

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

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