PostDoctoral Fellowship in Assistive Device Engineering
PostDoctoral Fellowship in Assistive Device Engineering
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1 Vacancy
Job Description
Introduction
Duties & Responsibilities
Introduction
A postdoctoral fellow position is available cohosted between the MUST Deep Learning and Assistive Devices research groups within the Faculty of Engineering. We are seeking a highly motivated postdoctoral researcher to aid in 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 cuttingedge 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) hosts the national SARChI chair in Deep Learning and delivers work of international standing. The collaborative programme between the two research groups is new: the postdoctoral 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 cosupervisor and mentor.
Key Responsibilities
- Conduct independent research in the field of assistive devices and machine learning.
- Publish research findings in highimpact journals.
- Cosupervise masters and doctoral students.
- Provide mentorship to postgraduate students.
- Contribute to research and funding proposals.
- Potentially participate in applied research projects in industry or as part of national programmes collaborating with other experts and stakeholders.
Desired Experience & Qualification
- 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
- Critical independent thinker.
- Strong decisionmaking skills.
- Excellent analytical skills.
- Leadership abilities.
- High levels of selfmotivation.
REMUNERATION
The annual total remuneration package will be commensurate with the level of appointment as advertised and in line with the NWU policy guidelines. The position is available for a period of 3 years renewed annually pending performance.
**ENQUIRIES REGARDING JOB CONTENT MAY BE DIRECTED TO:
ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO:
Mrs. Fadilha Minty on
CLOSING DATE: 5 May 2025
COMMENCEMENT OF DUTIES: Flexible with a preference for an earlier starting date. Note that the position can only be started once a PhD has been awarded.
MORE INFORMATION:
Beyond Limits: Deep Learning: 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. Communication will be limited to shortlisted candidates only.
If you are not contacted within two months from the closing date of this advertisement please accept that your application was unsuccessful.
Employment Type
Contract
