Assistant, Associate or Full Professor in Computer Science / Data Science

Company:SKEMA Business School

Location:China / Nanjing, Suzhou

Discipline:Computer Science / Data Science

Employment Type:Permanent Full-time



SKEMA Business School ( invites applications for one position at the Assistant, Associate or Full Professor rank, in Computer Science/Data Science area, to begin August 2022. The successful candidate will develop and/or lead academic research projects with the aim of publishing in the field's highest quality journals, and disseminate relevant knowledge through student instruction in Artificial Intelligence (AI), Data Science, and/or research methods (RM) fields.

The candidate may be asked to teach online or on campus and be required to work in Nanjing, Suzhou, or other locations in China for undergraduate and/or graduate level courses. The candidate is expected to contribute to student mentorship, to projects related to SKEMA SKY25 corporate strategy, and to be actively engaged in other service initiatives, including student selection processes, organizing academic workshop/seminars for students and contributing to projects related to school strategy. If appropriate, s/he may take on a coordination role.

The position is permanent with a full-time contract. Salary and conditions are competitive, in line with international standards. SKEMA Business School offers publication bonuses for peer-reviewed publications, following the French CNRS Journals Ranking list. The language of work and instruction is English. Knowledge of French is not required, and we will not use it as a criterion for selection. SKEMA Business School offers support in learning French.

Qualifications must include:

  • A Ph.D. in Computer Science/Data Science or related field from an AACSB or EQUIS accredited institution, and be interested in business domain.
  • Strong evidence of recent research productivity and teaching excellence in AI& Data Science, machine learning, or related fields, including evidence of conference presentations, high quality peer-reviewed research publications, exemplary teaching ratings, and awards.
  • Ability to work as part of a team in a collegial environment.
  • Strong oral and written communication skills.
  • Commitment to service and/or outreach activities.

Applications should include:

  • A letter of application stating why you are interested in SKEMA Business School
  • Curriculum Vitae.
  • Statement of research interests and direction.
  • Statement of teaching interests and philosophy (please list courses you have taught or would prefer to teach).
  • Evidence of research activity (1-2 writing samples or reference to research available online).
  • Evidence of teaching performance within the past two years (include teaching evaluations if available).
  • Three letters of reference.
  • Any additional document that the applicant may consider as relevant.

The application should be submitted in English and sent by email to, with the title: “application position in AI & DATA SCIENCE – CHINA CAMPUSES”.

Any questions should be sent to

Applications will be reviewed immediately upon submission.

Applications will be reviewed until December 31, 2021, or until the position is filled.


With 9,000 students of 120 nationalities and 51,000 graduates in 145 countries, SKEMA Business School is a global school which, through its research, its 50 teaching  programmes and its international multi-site structure trains and educates the talents that 21st century business requires. The school currently has 7 campuses worldwide: 3 campuses in France (Lille, Sophia Antipolis, Paris), 1 in China (Suzhou and Nanjing), 1 in the United States (Raleigh), 1 in Brazil (Belo Horizonte) and 1 in South Africa (Stellenbosch - Cape Town).  The school is also developing a research and resource laboratory on Artificial Intelligence based in Montreal, one of the world's major AI hubs. SKEMA’s Faculty comprises more than 170 Professors, organized by Academy – Globalisation, Innovation and Digitalisation – and Research Centers. SKEMA is multi-accredited - Equis, AACSB and EFMD Accredited EMBA. Its programmes are recognized in France (Visa, Master Degree, RNCP, CGE label), as well as in the United States (licensing), Brazil (certificação) and China.

For further information:


The Artificial Intelligence for Business (AIB) Institute is a multidisciplinary research center which comprises researchers focusing on fundamentals and applications of Artificial Intelligence in business and management. It is universally accepted that AI identifies an interdisciplinary area which focuses on computer science, robotics, engineering, mathematics and is based on the ability of a machine to learn from experience, to simulate the human intelligence, to adapt to new scenarios, to get engaged in humanlike activities, to perform complex activities and tasks in ways that can be labelled as intelligent. AI has made rapid progress in recent years: it has changed classical business models and transformed society in numerous ways, it has affected labor productivity, it has made possible production and delivery of new goods and services and, in general, it has modified every industrial segment through the adoption of innovative technologies and creative intelligence. Researchers affiliated to the AIB Institute have interests in different AI-related fields such as AI technologies, AI and ethics, Big data, Data science, Explainable AI, Human-machine interactions, Image and signal analysis, Machine learning, Natural language processing, Recommendation systems, Sentiment analysis and their applications to Economics, Finance, Human resource management, Innovation, Marketing, and Operation management. AIB members have published in international and high impact journals such as Annals of Operations Research, Expert Systems and Applications, European Journal of Operational Research, IEEE Transactions on Engineering Management, Journal of Mathematical Economics, Management Science, Mathematical Programming, Operations Research, Optimization and Engineering, Soft Computing, Pattern Recognition, Cognitive Psychology, among many other journals.

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