Freelance Lecturer Data Science (m/f/d)

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{
  "id": "2492508",
  "name": "Freelance Lecturer Data Science (m/f/d)",
  "office": "Potsdam",
  "keywords": [],
  "schedule": "full-or-part-time",
  "createdAt": "2026-01-15T14:50:31+00:00",
  "seniority": "experienced",
  "department": "Scientific Staff",
  "occupation": "general_and_other_r_and_d_and_science",
  "subcompany": null,
  "employmentType": "freelance",
  "jobDescriptions": [
    {
      "name": "Your mission",
      "value": "We are currently looking for a freelance lecturer (m/f/d) to teach a variety of Data Science modules in between January and July 2026. The courses either consist of 3 hours of teaching per week over 14 weeks, or 8 hours of teaching in six block sessions, plus supervision and assessment of a examination. <br> <br> Topic areas include: <br><ul><li>Machine Learning</li><li>Data Bases</li><li>Data Visualization</li><li>Information Retrieval</li><li>Language Processing</li><li>Disruptive Computing</li><li>Deep Neural Networks</li></ul>If you are seeking a practice-oriented teaching role in an innovative environment and want to support students on their path to becoming Data Science professionals, we look forward to receiving your application!<br><br><strong>YOUR IMPACT</strong><br> As a freelance lecturer at XU, you will: <br><ul><li>Deliver practice-oriented sessions on a weekly or bi-weekly basis.</li><li>Share your expertise by creating engaging teaching materials, presentations, and assignments.</li><li>Guide students through industry standards, best practices, and cutting-edge developments in your given field.</li><li>Supervise and assess a final examination.</li><li>Inspire our students to pursue careers in Data Science.</li></ul>"
    },
    {
      "name": "Your profile",
      "value": "We are looking for someone who: <br><ul><li>Holds at least a Master's degree in Manufacturing, Robotics, Data Science, or a related field, or has a Bachelor’s degree in an unrelated field but practical experience in Industry 4.0, Internet of Things or Virtualization/Digital Twinning.</li><li>Demonstrates a solid understanding of one or more of the previously mentioned topic areas.</li><li>Possesses strong English communication skills (level C1 or above - no formal proof required).</li><li>Enjoys teaching and engaging with students in a dynamic, practice-oriented environment.</li></ul>"
    },
    {
      "name": "Why us?",
      "value": "Why Teach at XU? <br><ul><li>Innovate education: Teach in small, interactive groups and co-create modern learning experiences.</li><li>Shape the future: Be part of a forward-thinking university where technology, design, and entrepreneurship meet.</li><li>Inclusive community: We embrace diversity, equity, and a collaborative spirit in everything we do.</li><li>Real impact: Equip students with the skills they need to build meaningful, user-driven digital solutions.</li></ul>Ready to empower the next generation of Data Science professionals? <br> <br> Apply now with your CV and a short note about your relevant experience. We look forward to hearing from you! <br> <br> <strong>Let’s shape the future – together. </strong>"
    }
  ],
  "occupationCategory": "r_and_d_and_science",
  "recruitingCategory": "Festangestellte"
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