HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH) Organisation/Company HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH) Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 12 Jan 2027 - 00:00 (UTC) Country China Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About Us The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the renowned \"Work-Integrated University-Industry Collaborative Talent Training Model.\" We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics Engineering, Industrial Engineering, Mechatronics and Automation, Software Engineering and Business Administration. Our students benefit from small classes, English-language instruction with accompanying German courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global job market. We combine international teaching standards with the unique opportunities that Hainan offers. BiUH is located in the Yangpu Economic Zone in Danzhou, a historic coastal city with direct high-speed rail connections to Haikou and Sanya. We invite passionate educators and researchers at all career stages, from early-career lecturers to established professors, to join our team.Both full-time and part-time positions are available for those committed to application-oriented education. Job Responsibilities Teach and assess at least 3 courses in the following core subjects: Data Analytics & Machine Learning Deep Learning for Large Language Models Programming (OOP with Python) Deep Learning Fundament of AI Develop course materials and curricula aligned with international standards and industry AI/ML practices Engage in applied research and publish in peer-reviewed journals Collaborate with industry partners for consulting projects and practical student training in real-world AI/ML development environments Mentor students in AI competitions (Kaggle, AI challenges) and research initiatives Job Qualifications Master's degree or above in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or closely related field Strong expertise in data analytics and machine learning Strong foundation in mathematics for machine learning Ability to work effectively in an international and multicultural environment Excellent communication skills in English; Chinese language skills are a plus Industry experience preferred English is required (B2 or above); German is desirable Expected Onboarding Time Autumn Semester 2026 (August 2026) Salary and Benefits Competitive Salary in the Market (13th Month Salary) 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality How to apply Please prepare the following documents: Current English CV (including full publication list) Cover Letter (addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor's (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as \"Position - Your Name\" #J-18808-Ljbffr