Tel no. (66-2) 524-6054
Assistant/Associate Professor
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The Asian Institute of Technology (AIT) is an autonomous, international and inter-governmental post-graduate institution that promotes technological change and sustainable development in the Asian-Pacific region and beyond through higher education, research and outreach activities. Established in Thailand in 1959, AIT has become a leading regional postgraduate institution and is actively working with the public and private sector partners throughout the region and with some top universities in the world. It offers Master's and Doctoral degrees, diploma and certificate programs in engineering, science, planning and management, and serves over 2,000 students from many countries across Asia and beyond. Since its inception, the Industrial Systems Engineering (ISE) academic program of AIT's School of Engineering and Technology (SET) has contributed to the institution's goal by focusing on industrial competitiveness and innovation for sustainable regional growth. It offers specializations in Industrial and Manufacturing Engineering (IME), Mechatronics and Machine Intelligence (MMI), Bio-Nano Material Science and Engineering (BNMSE), Medical Engineering (MDE), and Semiconductor Engineering (SCE). Despite the diversity of specializations, ISE maintains a similar concept of developing graduates who excel in technical knowledge, teamwork, communication, and leadership. We are extremely proud of all of our graduates who are currently employed as production engineers, division managers, CEOs, professors, deans, university rectors, and so on. The Industrial Systems Engineering Academic Program is seeking a candidate for a faculty position at Assistant/Associate Professor level in Industrial & Manufacturing Engineering field of study. The successful candidate is expected to teach graduate level courses, supervise graduate students both at master and doctoral levels, conduct interdisciplinary research, and establish an externally funded research program, to contribute to knowledge creation evinced through scholarly publications, and to engage in building the program 's prominence through professional service. The program is particularly interested in candidates with the following desired qualifications: |
Desired Qualifications:
- Must have a Ph.D./doctoral degree in Operations Research and Management Science, Industrial Engineering & Management, Information Management, Statistical Data Analysis from a well-recognized university/institution with a strong research background and interest in Operations Research, Management Science, Optimization, Supply Chain and Logistics Management, Computer Simulation, Information Systems, Big Data Analytics, and/or related fields.
- Competence in teaching and carrying out research at the post graduate level.
- Excellent oral and written communication skills in English.
- Strong commitment to excellence in teaching and research
- Strong publication record demonstrating ability to perform independent research listed in SCOPUS, Google Scholar and ResearchGate.
- Demonstrate ability to attract and handle externally funded projects
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The salary offered to the successful candidate is regionally competitive, commensurate with qualifications and experience. Additional benefits include provident fund, air travel for self and direct dependents, on-campus accommodation, grant for settlement, education subsidy for dependent children and medical benefit as per Institution's policy and procedure. For more details please refer to the AIT homepage: https://www.ait.ac.th/ To apply, please send a letter of application including a cover letter, curriculum vitae, copies of selected publications, citation data, teaching & research statements, educational qualification certificates & transcripts, experience certificates, and names of three referees with their affiliation and contact information. Submit the above mentioned documents to: School of Engineering and Technology, Asian Institute of Technology, |
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We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, or any other characteristics protected by law. |