Introduction 

A post-doctoral fellow position is available co-hosted between the MUST Deep Learning and Assistive Devices research groups, within the Faculty of Engineering. We are seeking a highly motivated post-doctoral researcher to aid in various engineering research projects focused on developing advanced assistive devices for individuals with disabilities, incorporating machine learning techniques.

The research groups are dedicated to advancing assistive technology through innovative engineering solutions and cutting-edge research. Our focus includes the design and development of prosthetics, wheelchairs, and other assistive devices, enhancing their functionality through machine learning. Our aim is to improve the quality of life for individuals with disabilities by integrating intelligent systems that provide better control and adaptability in assistive devices.

The MUST Deep Learning research group studies machine learning, with an emphasis on the theory and application of deep learning. The group coordinates two national research programmes (associated with the Centre for AI Research and the National Institute for Theoretical and Computational Sciences) and delivers work of international standing. The collaborative programme between the two research groups is new: the post-doctoral fellow will be given the opportunity to help shape this programme in collaboration with senior researchers.

Job Description 

The successful candidate will be provided with an environment conducive to the development of their research skills and growth of their research profile, through collaboration and publication at both national and international levels. The candidate will work closely with a supervisor and engage with postgraduate students as a co-supervisor and mentor.

Key Responsibilities 

• Conduct independent research in the field of assistive devices and machine learning.
• Publish research findings in high-impact journals.
• Co-supervise master's and doctoral students.
• Provide mentorship to postgraduate students.
• Write research and funding proposals.
• Participate in applied research projects in the industry, collaborating with other experts and stakeholders.

• A relevant PhD degree obtained within five years prior to appointment as a postdoctoral fellow.
• A strong publication record in relevant fields.
• Excellent communication skills and the ability to work collaboratively in a team environment.
• An interest in assistive technology, foundational knowledge of machine learning and a strong mathematics background.

Key Behavioural Competencies

• Strong decision-making skills.
• Excellent analytical skills.
• Leadership abilities.
• High levels of self-motivation.
• Critical thinking skills.

REMUNERATION

The annual total remuneration package will be commensurate with the level of appointment as advertised and in line with the NWU policy guidelines.

ENQUIRIES REGARDING JOB CONTENT MAY BE DIRECTED TO: 

Prof. Marelie Davel – marelie.davel@nwu.ac.za 

ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO:  

Mr. Ian Thomson – ian.thomson@nwu.ac.za 

CLOSING DATE:   29 November 2024 

COMMENCEMENT OF DUTIES: As soon as possible 

Kindly note: applications may only be submitted online through the official NWU vacancy website. Incomplete applications and those submitted through any other platform will not be considered.

The University subscribes to and applies the principles of the Employment Equity Act and is committed to transformation. Preference will be given to candidates from the designated groups, in accordance with the principles of the aforementioned Act and NWU Employment Equity Plan. 

The University reserves the right not to make an appointment. If you are not contacted within two months from the closing date of this advertisement, please accept that your application was unsuccessful. Communication will be limited to shortlisted candidates only.