# Freelance Lecturers in AI, Robotics, and Data Analytics – BSBI, Berlin at Gus Germany > Germany · Unspecified · Analytics / Data science · open. Source: https://alderhq.app/jobs/personio%3Agus-germany%3A2610529 (read 2026-11-12). ## Facts (observed) - Company: [Gus Germany](https://alderhq.app/companies/gus-germany) - Location text: Berlin - Where it can be done from (inferred): Germany (evidence: "Location: Berlin") - Posted: 2026-04-22 (204 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-12 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://gus-germany.jobs.personio.de/job/2610529 - Skills listed (inferred): JavaScript, C++, Kubernetes, Docker, LLMs ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Berlin, n 5): p25 €58k, median €66k, p75 €70k ## Description (the employer's text) ### 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 --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/personio%3Agus-germany%3A2610529 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.