Faculty in Data Science and Artificial Intelligence (Open rank)

We are inviting experienced candidates with international qualifications to apply for the following academic and teaching positions for the School of Computing and Innovative Technologies, specialised in Data Science and Artificial Intelligence.

ASSOCIATE LECTURERS          – Teachers with academic experience (enrolled in PhD)

LECTURERS                            – Teachers with academic experience (with PhD)

SENIOR LECTURERS                – Teachers with academic and research experience (with PhD)

In addition, we welcome applications from candidates in any field with significant experience in teaching Data Science and Artificial Intelligence at the Postgraduate level.

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BRITISH UNIVERSITY VIETNAM (BUV)

British University Vietnam (BUV) is the first and only international university in Vietnam to directly award British degrees from the prestigious University of London and Staffordshire University. BUV is rated a 5 Star university of excellence by the world recognised QS accreditor and is also recognised with a University-wide accreditation from the UK’s Quality Assurance Agency (QAA).

BUV has three main brand drivers:

• Offering accredited British and international higher education and training in Vietnam.
• Providing 5-star university campuses, learning spaces, and services.
• Including a compulsory personal and social growth program that prepares students for the future of life and work.

Established in 2009, BUV provides teaching for undergraduate and graduate programmes. Employability rates for students are exceptionally high with 100% of graduates from BUV either employed or continuing higher education within 3 months after graduation.

With a wide network of more than 300 enterprise partners in various fields, and 12-week internship programmes, BUV helps students gain professional knowledge and practical skills to meet employers’ requirements as well as be ready to develop their careers immediately after graduation.

Students study at BUV’s award winning campus in the Ecopark township near Hanoi. With its state-of-the-art teaching and learning facilities and an iconic design, BUV is recognised as one of the best educational environments in South East Asia.

POSITION REQUIREMENTS

We welcome applications from experienced teachers with specialisms in Data Science, Data visualizations, Natural Language Processing, Big Data, Quantitative analysis and any relevant industry experience is also welcomed.

At BUV, we welcome innovation and imagination in effective course delivery. You will be given broad agency to adapt, modify, improve, and update your modules, so experience in module design, innovative teaching methods leveraging rich content is valued.

As part of a small, tight-knit and supportive team, this is a chance to really put a stamp on the course and make a big impact on teaching content and delivery across the degree. We value your ability to contribute to course design as a whole, not just your own modules, and your voice will ensure that our courses continue to flourish, innovate and improve.

Lecturers / Senior Lecturers (Academic Levels B & C)

(Essential)

• PhD or Doctoral qualifications and Masters degree in a relevant discipline area from an internationally recognized institution
• University or postgraduate teaching experience in related fields having taught programmes where instruction is 100% English.
• Advanced knowledge of Data Science and AI.
• Proficiency in Programming Languages
• Knowledge of Data Management Tools
• Understanding of Data Visualization Tools
• Higher education teaching qualification, recognition, accreditation, or willingness to work towards this.
• Sufficient breadth or depth of specialist knowledge in the discipline to develop teaching programmes and the provision of learning support.
• Knowledge of higher education and ability to use a range of up-to-date delivery techniques to enthuse and engage students.
• In-depth understanding of own specialism to enable the development of new knowledge and understanding within the field.
• Evidence of a positive impact at discipline programme level beyond own teaching.
• Experience of teaching, curriculum development and quality assurance and enhancement in an HE environment.
• Research experience.
• Evidence of high-quality publications or other outputs in research or practice.
• Understanding of equal opportunity issues as they may impact on academic content and issues relating to student needs.
• Excellent written and verbal communication skills
• Clean police record

Associate Lecturers (Academic Level A)

(Essential)

• Currently enrolled in a PhD or Doctoral programme at an internationally recognised institution
• Master’s degree in a relevant discipline area from an internationally recognised institution
• 3 years university or undergraduate teaching experience in related field having taught programmes where instruction is 100% English.
• Strong knowledge of data science principles and programming language.
• Higher education teaching qualification, recognition, accreditation, or willingness to work towards this.
• Sufficient breadth or depth of specialist knowledge in the discipline to develop teaching programmes and the provision of learning support.
• Knowledge of higher education and ability to use a range of up-to-date delivery techniques to enthuse and engage students.
• Understanding of equal opportunity issues as they may impact on academic content and issues relating to student need.
• Excellent written and verbal communication skills
• Clean police record

Teaching Practitioners / Fellows / Senior Fellows

(Essential)

• Master’s degree in a relevant discipline area from an internationally recognised institution
• 3 years of university or undergraduate teaching experience in a related field having taught programmes where delivery is 100% English.
• Knowledge of Data Science and AI.
• Proficiency in Programming Languages
• Knowledge of Data Management Tools
• Understanding of Data Visualization Tools
• Sufficient breadth or depth of specialist knowledge in the discipline to develop teaching programmes and the provision of learning support.
• Knowledge of higher education and ability to use a range of up-to-date delivery techniques to enthuse and engage students.
• Understanding of equal opportunity issues as they may impact academic content and issues relating to student needs.
• Excellent written and verbal communication skills
• Clean police record

All Positions

(Desirable)

• Mathematical & Statistical Skills
• Experience in quantitative analysis
• Industry experience.
• Evidence of excellent teaching identified by peer review.
• Experience of living and working in Vietnam or Asia
• Experience of teaching, curriculum development and quality assurance and enhancement in an HE environment.
• Evidence of a positive impact at a discipline or programme level beyond own teaching
• Higher education teaching qualification, recognition, accreditation, or willingness to work towards this.

Academic Levels B and above

• Evidence of high-quality publications or other outputs in research or practice.
• Experience in research and evidence of up-to-date research activity.
• Demonstrable ability to lead research projects, win bids, and generate income.
• Experience teaching at postgraduate levels

For all positions: Please note that original certificates and degrees will be required on arrival in Vietnam (degree and teaching certificates; CRB or other police checks) are required for work permit purposes.

Interested candidates should prepare an up-to-date CV and application letter indicating for which position you are applying. Please then select SUBMIT YOUR CV button on our JOBS AT BUV webpage or email to hr@buv.edu.vn. We will invite short-listed candidates for interviews. Recruitment will remain open until the position is filled.

EQUAL OPPORTUNITIES AND DIGNITY AT WORK POLICY

All staff are expected to understand and enact the University’s commitment to ensuring equality and diversity in all activities. This commitment is enshrined in the BUV mission statement and our core values.

Every member of staff has a responsibility to ensure colleagues are treated with dignity and respect. The University is committed to creating a work environment for all staff that is free from harassment, intimidation and any other forms of bullying at work, where everyone is treated with dignity, respect and professional courtesy.

Submit Your CV