Full-Time Lecturer in Data Science - University of Bunda Mulia
Join University of Bunda Mulia as a Full-Time Lecturer in Data Science and shape the future of digital innovation in Indonesia. This is a unique opportunity to inspire the next generation of data scientists, researchers, and industry leaders in a dynamic academic environment in Jakarta Utara. As a Data Science Lecturer, you will teach cutting-edge courses, mentor students, and collaborate with industry partners to bridge the gap between academia and real-world applications. Our university is committed to fostering an inclusive and innovative learning community, and we are looking for a passionate educator to join our team.
In this role, you will develop and deliver engaging lectures, workshops, and hands-on projects using industry-standard tools like Python, R, and SQL. You will also guide students through their research projects, helping them to develop critical thinking and problem-solving skills. Our curriculum is designed to prepare students for careers in data science, machine learning, and artificial intelligence, and we are excited to have you contribute to this mission.
๐ Tanggung Jawab Pekerjaan
- Develop and deliver engaging lectures, workshops, and hands-on projects using industry-standard tools like Python, R, and SQL
- Guide students through their research projects, helping them to develop critical thinking and problem-solving skills
- Collaborate with industry partners to bridge the gap between academia and real-world applications
- Stay up-to-date with the latest trends and developments in data science and incorporate them into your teaching
- Mentor students and provide academic and career guidance
- Contribute to the development and improvement of our data science curriculum
- Participate in university committees and contribute to the academic community
- Foster an inclusive and innovative learning environment
๐ Kualifikasi & Syarat
- Master's degree in Data Science, Computer Science, Statistics, or a related field
- Minimum of 3 years of experience in teaching data science or a related field
- Strong background in data science, machine learning, and artificial intelligence
- Proficiency in industry-standard tools and software, including Python, R, SQL, and data visualization tools like Tableau or Power BI
- Experience with cloud platforms like AWS or Google Cloud
- Ability to communicate complex concepts clearly and effectively
- Strong research and publication record in data science or related fields
- Experience with academic administration and curriculum development
๐ ๏ธ Keahlian
Kirim lamaran sekarang sebelum batas waktu.๐ Lamar Sekarang