POSTDOCTORAL FELLOWSHIP
Listing reference: NWU4/NWU27/PCFA/FM/POSTDOCTORAL FELLOW/Potchefstroom/080621
Listing status: Under Review
Apply by: 16 June 2021
Position summary
Industry: Education & Training
Job category: Education and Training
Location: Potchefstroom
Contract: Temporary
Remuneration: Market Related
Introduction
NORTH-WEST UNIVERSITY (POTCHEFSTROOM CAMPUS)
FACULTY OF ENGINEERING
MULTILINGUAL SPEECH TECHNOLOGIES (MuST)
VACANCY: POSTDOCTORAL FELLOWSHIP
TYPE: CONTRACT
INTRODUCTION
The Multilingual Speech Technologies (MuST) research group performs basic and applied research in machine learning, with an emphasis on the theory and application of deep learning. Our theoretical work focuses on generalisation in deep learning, and the interpretability of deep learning models. Building on a strong track record in the application of machine learning to multilingual speech processing, our current application domains are diverse, ranging from speech processing to space weather prediction to industrial applications of deep learning. MuST is a node of the South African National Centre for Artificial Intelligence Research (CAIR).
Job description
JOB DESCRIPTION
If you are the successful candidate, MuST offers you an environment in which to develop your research skills, collaborate and publish internationally, and grow your own research profile. You will work in collaboration with a supervisor and participate fully in the research programme of the group. You will interact with our postgraduate students too, and act as co-supervisor for research masters and doctoral students.
KEY RESPONSIBILITIES:
- Independent research and production of scholarly research articles
- Co-supervision of postgraduate students
- Mentorship to postgraduate students
- Laboratory manager for Potchefstroom-based MuST students
- Writing of research and funding proposals
- Participation in applied research projects in industry
KEY FUNCTIONAL/ TECHNICAL COMPETENCIES:
- Strong programming and/or scripting skills (especially Python)
- Good technical writing skills and a sound publication record
- Ability to co-supervise students
- Self-motivated individual with strong interpersonal skills
- Prior machine learning experience is essential
KEY BEHAVIOURAL COMPETENCIES:
- Decision-making skills
- Analytical skills
- Leadership skills
- Self-motivation
- Critical thinking
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: Ulrike Janke 067 203 8092
ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO: Mrs Fadilha Minty 018 285 2120
CLOSING DATE: 16 June 2021
COMMENCEMENT OF DUTIES: 01 August 2021
Kindly take 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.
Minimum requirements
- Relevant PhD degree (e.g. Engineering, Computer Science, Mathematics), obtained within five years before the appointment as a postdoctoral fellow.
- An interest in machine learning, deep neural networks, statistical pattern recognition and/or generalisation within the context of Artificial Intelligence.
