Lecturer in Artificial Intelligence and Data Science
Singapore Polytechnic School of Computing
Singapore

SCHOOL OF COMPUTING

Lecturer (Artificial Intelligence & Data Science)

The job of an academic is challenging and meaningful. Not only should he/she have both the knowledge and working experience, he/she must also possess a passion for working with youths, nurturing them and moulding their characters. There will be opportunities to develop the curriculum, introduce new courses as well as be involved in consultancy and other applied research projects. Administrative work related to teaching and School/Institutional strategic initiatives will be an important part of the job too.  Successful candidates will be expected to be resourceful, innovative and with good communication skills.

The appointee must be competent to teach at least three of the following domains:

  • Artificial Intelligence (AI) & Machine Learning
  • DevOps & Automation for AI
  • Deep Learning
  • Data Engineering
  • Practical AI
  • Applied AI and Analytics Project

Responsibilities:-

  • Conduct lessons, create teaching and assessment materials, and facilitate learning of students (youths and adult learners)
  • Develop and maintain new/existing teaching curriculum.  This includes regular review of existing curriculum and make recommendations on areas of improvements that would enhance students’ learning, performance and employability.
  • Keep current and abreast of trends and developments of Artificial Intelligence & Data Science
  • Support the School’ strategic initiatives through involvement in committee work and projects such as process improvement projects, development and management of new courses

Requirements:-

  • Minimum 3 years of relevant work experience using open source DevOps tools and software as a service solution in the development and implementation of AI and machine learning algorithms
  • Passionate about education and possess strong interest in teaching and mentoring both youths and adult learners
  • Good working domain knowledge, especially in Advanced Manufacturing, Digital Marketing, E-commerce, Finance, Cybersecurity, Supply Chain and Healthcare
  • Relevant qualifications in the field of Artificial Intelligence, Computer Science, Engineering, Machine Learning, or an IT-related discipline
  • Possess relevant working experiences in extensive AI expertise, especially in probabilistic modelling, machine learning, automated planning and reinforcement learning, generative adversarial networks, evolutionary computing and/or explainable and adaptive deep learning
  • Candidates who possess experience in AI or deep learning work at corporate level will have an added advantage
  • People-oriented individual with strong interpersonal, written and communication skills
  • Self-driven, independent and possess readiness to work as a team

Closing Date: 24 September 2019

If you are shortlisted for the position(s), you should hear from us within 30 days of the closing date of the advertisement. 

 


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