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

Autumn Semester 2026 (August 2026)

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 recruitment@hainan-biuh.edu.cn

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Faculty Position in AI and Data Science

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Yangpu Economic Zone in Danzhou, Hainan, China

About Us

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Faculty Position in AI and Data Science

Hainan Bielefeld University of Applied Sciences

Yangpu Economic Zone in Danzhou, Hainan, China

About Us

Esta é uma lista de previsão...

Trabalhos Relacionados - 24 de agosto de 2026

Related Conferences

NeurIPS 2026

Next-Generation AI & Machine Learning (NXT AI)

ACM Virtual Global Computing Education Conference (SIGCSE Virtual 2026)

51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)

European Symposium on Algorithms (ESA 2026)

67th Annual Symposium on Foundations of Computer Science (FOCS 2026)

52nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2027)

2026 IEEE International Conference on Big Data

52nd International Conference on Very Large Data Bases (VLDB 2026)

ACM 6th International Conference on Information Technology for Social Good (GoodIT 2026)

Faculty Position in AI and Data Science

Hainan Bielefeld University of Applied Sciences

Yangpu Economic Zone in Danzhou, Hainan, China

About Us

Esta é uma lista de previsão...

Trabalhos Relacionados - 24 de agosto de 2026

Related Conferences

NeurIPS 2026

Next-Generation AI & Machine Learning (NXT AI)

ACM Virtual Global Computing Education Conference (SIGCSE Virtual 2026)

51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)

European Symposium on Algorithms (ESA 2026)

67th Annual Symposium on Foundations of Computer Science (FOCS 2026)

52nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2027)

2026 IEEE International Conference on Big Data

52nd International Conference on Very Large Data Bases (VLDB 2026)

ACM 6th International Conference on Information Technology for Social Good (GoodIT 2026)

Faculty Position in AI and Data Science

Hainan Bielefeld University of Applied Sciences

Yangpu Economic Zone in Danzhou, Hainan, China

About Us

Esta é uma lista de previsão...

Trabalhos Relacionados - 24 de agosto de 2026

Related Conferences

NeurIPS 2026

Next-Generation AI & Machine Learning (NXT AI)

ACM Virtual Global Computing Education Conference (SIGCSE Virtual 2026)

51st International Symposium on Mathematical Foundations of Computer Science (MFCS 2026)

European Symposium on Algorithms (ESA 2026)

67th Annual Symposium on Foundations of Computer Science (FOCS 2026)

52nd International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2027)

2026 IEEE International Conference on Big Data

52nd International Conference on Very Large Data Bases (VLDB 2026)

ACM 6th International Conference on Information Technology for Social Good (GoodIT 2026)