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

BSBI-Berlin; Berlin; On-site; USD 73,358 - 104,479; Part time

Job summary

BSBI-Berlin is looking for Freelance Lecturers in AI, Robotics, and Data Analytics. The role involves teaching and examination duties at university level, designing instructional materials, and developing curricula. Candidates must have a PhD or be a PhD candidate with expertise in AI or Robotics. Prior teaching experience and fluency in English (C2 level) are required. The position offers 55€ per hour, reflecting a part-time freelance contract. Knowledge of German is a plus.

Qualifications

• PhD or PhD Candidate with strong theoretical and practical knowledge in AI, Robotics, or Data Analytics.
• Prior teaching experience in higher education at university level.
• Fluent in spoken and written English (C2 level).

Responsibilities

• Conduct teaching and examination duties per regulations for students.
• Design and develop instructional materials to enhance student engagement.
• Revise and develop curricula for assigned modules.

Skills

Machine Learning & Deep Learning

Data Science & Visualisation

Mechatronics & Electronic Systems

Robotics & Control Engineering

Artificial Intelligence & Emerging Tech

Education

PhD or PhD Candidate in related field

Tools

Windows OS

Microsoft Teams

Educational platforms (e.g., Canvas, Blackboard)

Job description

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

Berlin

Part‑time

Freelancer

55 € per hour

Your Responsibilities

• Conduct teaching and examination duties in accordance with 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 deadlines stipulated by the Administration Office and submit evaluated materials 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 with strong theoretical and practical knowledge in one of the following domains

• Supervised, Unsupervised, and Reinforcement Learning
• Predictive Analytics: Classification, Regression, and Clustering
• Visual Storytelling & Information Architecture
• Full‑Stack Data Engineering & Enterprise Data Warehousing
• Mechatronic Systems & Electromechanical Integration
• Electronic Circuit Design & PCB Prototyping
• Embedded Systems & Firmware Engineering (C/C++)
• Control Systems Theory & PLC Automation
• Computer Vision & Real‑Time Image Processing
• Natural Language Processing (NLP) & Conversational AI
• Blockchain Architecture & Smart Contract Development
• Virtual/Augmented Reality & Metaverse Development
• 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

Professional Competencies

• Machine Learning & Deep Learning: Supervised, Unsupervised, and Reinforcement Learning; Deep Neural Network Architectures & Optimisation; Production Machine Learning & MLOps Frameworks; Predictive Analytics.
• 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 & ROS2 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 Experience & Skills

• Prior teaching experience in higher education at university level.
• Very good knowledge of Windows OS, 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 is desirable.
• Knowledge of educational platforms e.g., Canvas, Blackboard.
• 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.