Lecturer (Five-year Term) - Industrial Engineering

Location
South Africa
Posted
Oct 15, 2018
Closes
Oct 31, 2018
Organization Type
University and College
Hours
Full Time
Department of Industrial Engineering

Lecturer (Five-year Term)

Operations Research

(Ref. ING01/302/1018)

The Department of Industrial Engineering focuses on the following areas of research to improve global competitiveness: Operations Research, Machine Learning, and Data Science in Industrial Engineering; Operations Management and Logistics; Advanced Manufacturing; and Engineering and Technology Management.

The incumbent will be expected to keep abreast of the latest academic content and practical applications in the areas where they are deployed to ensure relevance and sustainability of the Department.

Role:

This is a fixed-term appointment, tailored for a prospective PhD student, (i.e. who has completed or is in the process of completing a suitable Master's degree, and wishes to pursue a PhD, or who has already started a PhD) in Operations Research and the interface to Machine Learning and Data Analytics. The maximum term is five years, but this can be tailored to shorter periods to suit individual requirements.

The incumbent will report to a senior researcher in the above specialisation area, assist with research and lecturing duties, and thereby contribute towards expanding the research footprint of Operations Research in Industrial Engineering.

The role includes:

  • Assistance with the academic guidance and management of a specific research group;
  • Undergraduate and postgraduate teaching;
  • Supervising postgraduate students;
  • Conducting research for and technology transfer to the industry;
  • Completing the PhD during the term of the position, to expand the academic footprint of the Operations Research focus groups
  • Supervising postgraduate students;
  • Conducting research for and technology transfer to the industry;
  • Completing the PhD during the term of the position, to expand the academic footprint of the Operations Research focus group.

 

The succesful candidate will have:

  • A Bachelor's degree in Industrial Engineering;
  • A Master's degree (completed or planned for completion by the end of the 2018 academic year) in Industrial Engineering with a focus on the interface between Operations Research, Data Analytics and Machine Learning;
  • An excellent academic record;
  • The academic ability to present a wide range of Operations Research and Data Analytics modules in the Industrial Engineering undergraduate and postgraduate curricula;
  • Past exposure to research in the above area of specialisation;
  • Excellent computer programming skills;
  • Affiliation and active participation in an Operations Research scholarly society;
  • Good verbal and written communication skills;
  • A desire and commitment to proceed with a PhD, focusing on the above area of specialisation.
  • Substantial progress towards the attainment of a PhD on the interface between Operations Research, Data Analytics and Machine Learning;
  • A proven record of research potential, including previous thesis work and other publications;
  • The ability to facilitate and support existing research activities within the above area of specialisation;
  • The ability to supervise postgraduate students on topics within the above area of specialisation;
  • Experience in tutoring or teaching Operations Research and/or Data Analytics modules at undergraduate or postgraduate levels;
  • Good organisational skills;
  • Fluency in Afrikaans and English.

 

The University will consider all applications in terms of its Employment Equity Plan, which acknowledges the need to diversify the demographic composition of the staff corps, especially with regard to the appointment of suitable candidates from the designated groups. The University reserves the right not to make an appointment.

Your application, comprising a comprehensive curriculum vitae (including the names and e-mail  address of at least three referees), must reach the University before or on the closing date of the advertised post.

Applicants should request their referees to send confidential reports by the closing date directly to the following address:  

The Manager: Personnel Provisioning & Planning, Stellenbosch University, Private Bag X1, Matieland 7602;  e-mail: sun-e-hr@sun.ac.za;  fax: 021 808 2484.

Candidates may be subjected to appropriate psychometric testing and other selection instruments.

The University reserves the right to investigate qualifications and conduct background checks on all candidates.

Should no feedback be received from the University within six weeks of the closing date, kindly accept that your application did not succeed.

Enquiries regarding job content:

Prof Corne Schutte on 021 808 4234, or on corne@sun.ac.za

Enquiries regarding remuneration/benefits as well as technical assistance with the electronic application process:

Human Resources Client Service Centre on 021 808 2753

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