Freelance Lecturers in AI, Robotics, and Data Analytics – BSBI, Berlin at Berlin School of Business and Innovation | Berlin, DE | Rezi

Freelance Lecturers in AI, Robotics, and Data Analytics – BSBI, Berlin at Berlin School of Business and Innovation

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

Berlin School of Business and Innovation · Berlin, DE

3 weeks ago

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

Berlin School of Business and Innovation · Berlin, DE

23 days ago
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About the Role

BSBI's mission is to educate students to effectively shape the future and become excellent leaders of tomorrow in an ever-changing business world. It also aims to teach students to understand how businesses function and how economic success is generated. BSBI offers industry-relevant programs that focus on the development of practical entrepreneurial skills necessary for professional success. Located in the heart of Berlin, we are an international business school that offers academic excellence. We are a member of Global University Systems (GUS) and provide unlimited career opportunities for its students and staff.

Responsibilities

  • Conduct teaching and examination duties in accordance with applicable examination and study regulations.
  • Creatively design and develop instructional materials to enhance student learning and engagement.
  • Revise, design, and develop new curricula for assigned modules, ensuring alignment with academic standards and learning outcomes.
  • Develop and set examinations or other assessment instruments, providing them at least two weeks prior to the conclusion of the semester.
  • Grade written examinations and other assessment results within stipulated deadlines 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.
  • Supervise student dissertations, providing guidance and feedback, and assess and grade them in accordance with academic standards.

Requirements

  • PhD or PhD Candidate with strong theoretical and practical knowledge in at least one of the specified domains (Machine Learning & Deep Learning, Data Science & Visualisation, Mechatronics & Electronic Systems, Robotics & Control Engineering, Artificial Intelligence & Emerging Tech, Systems & Infrastructure).
  • 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 (for Germany) is desirable.
  • Knowledge of Educational Platforms (e.g., Canvas, Blackboard).
  • Working knowledge of timetabling software.
  • Sound knowledge of study regulations and rules.
  • Very good organizational and communication skills.
  • High social competence and assertiveness.
  • Ability to maintain an overview even with high workloads.
  • Entrepreneurial and economic way of thinking and working.
  • Resilient and flexible.
  • Motivated for further academic and professional development.

Skills

  • 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
  • MS Office suite (Excel, Word, Outlook, PowerPoint)
  • Microsoft Teams
  • Educational Platforms (i.e. Canvas, Blackboard etc.)
  • Timetabling software

Location

  • Berlin

Work Type

  • Full-time

Experience Level

  • University level teaching experience
  • PhD or PhD Candidate

Education Level

  • PhD

About the Company

  • BSBI is part of GUS Germany GmbH (GGG), a dynamic network of higher education institutions with more than 18,000 students at locations in Germany, Europe and beyond.
  • We prepare students for impactful global careers, providing accessible and quality education to cultivate future industry leaders.
  • With a focus on enterprise, leadership, and success, our programmes empower students with an entrepreneurial mindset to lead and succeed, fostering an inclusive, innovative, and supportive learning environment.
  • Our mission is to shape the future by nurturing exceptional talent and driving positive change in the competitive international business world.
  • Explore https://www.berlinsbi.com/ for more information about us!