Job Information
- Organisation/Company: HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH)
- Research Field: Computer science; Mathematics
- Researcher Profile: Recognised Researcher (R2); Leading Researcher (R4); Established Researcher (R3)
- Application Deadline: 7 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
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 AI and data science courses:
- Data Analytics & Machine Learning
- Fundamentals of AI
- Deep Learning & Neural Networks
- Computer Vision & Natural Language Processing
- Develop course materials and curricula aligned with international standards and industry AI/ML practices
- Provide academic advising and mentoring to undergraduate students interested in AI careers
- Engage in applied research and publish in peer-reviewed journals
- Collaborate with industry partners for AI consulting projects and practical student training in real-world data science scenarios
Job Qualifications
- Master's degree or above in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or closely related field
- Strong expertise in AI and machine learning Knowledge of AI applications in computer vision, natural language processing, or predictive analytics Industry experience in data science, AI development, or analytics consulting strongly preferred
- Ability to work effectively in an international and multicultural environment
- English is required (B2 or above); German is desirable
Expected Onboarding Time
- ASAP
Salary and Benefits
- Competitive Salary in the Market (13th Month Salary)
- Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc.
- 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"
- Please send all files to [contact details available in the full listing]
Work Location(s)
- Number of offers available: 1
- Company/Institute: HAINAN BIELEFELD UNIVERSITY OF APPLIED SCIENCES (BiUH)
- Country: China
- City: Hainan (CN)
