Research Opportunities

Research Opportunities

Postdoctoral Research Fellowship Deep Learning and Bioacoustics

A recent report issued by the WWF states that there has been a catastrophic decline in wildlife population in recent years. A large number of species are threatened with extinction due to a number of factors. Further conservation efforts are still urgently required to ensure the survival of the remaining individuals. The African Institute for Mathematical Sciences (AIMS) and Stellenbosch University are looking to appoint a post-doctoral fellow to work in
the area of deep learning and bioacoustics.

This fellowship aims at investigating deep learning models for passive acoustic monitoring of animal species. The fellow will research state-of-the-art techniques in deep learning and mathematics to address critical conservation problems. The fellow will develop software code for audio processing, and suitable deep neural networks, typically in TensorFlow or other libraries.

The fellow will work closely with Dr. Emmanuel Dufourq and the Machine Learning for Ecology Research Group. The fellow will work at AIMS South Africa which is located in the beautiful city of Muizenberg, Cape Town, South Africa. AIMS is located just a few meters from Muizenberg beach!

Requirements:

  • PhD in a relevant mathematical science (e.g. computer science, mathematics, …).
  • Strong experience in deep learning (TensorFlow, PyTorch,…) and Python programming.
  • Clear evidence of completed deep learning projects in computer vision or audio tasks.
  • Good mathematical and problem solving skills as the candidate will actively engage in this.
  • A strong desire to apply machine learning to bioacoustics problems.
  • Proven ability to publish in reputable peer-reviewed journals (Q1 or Q2 ranked, check ranking here).
  • Be independent and driven for academic outcomes and have a desire to share knowledge and work in a collaborative and respectful manner.
  • Very strong communication skills (English written, oral, and presentation).

Application deadline: 7 January 2024 AoE, two rounds of interviews conducted shortly thereafter.

Start date: 1 March 2024

For more information please see the full advert here.

Master’s and doctoral study in the Research Centre

The AIMS South Africa Research Centre offers Doctoral and Masters bursaries for research study in the Centre (details on the research areas supported at the Research Centre may be found at Research). South African students and students from disadvantaged backgrounds are especially welcome.

AIMS South Africa is able to offer funding for bursaries as well as accommodation and meals, supervision and co-supervision of students. Interested students should submit the completed application form, a short proposal of their intended study (not more than two pages) as well as their academic record and a brief CV to the Administrative Officer at research-admin@aims.ac.za. Academics who wish to make enquiries about co-supervision of their students in multidisciplinary areas are encouraged to contact the Director of AIMS South Africa.

Visiting Research Fellowships

The AIMS South Africa Research Centre offers a variety of fellowships for visiting researchers. Interested researchers may apply to visit for short (2-week) or longer periods. Research fellows may conduct their own research at AIMS, participate in the teaching programmes and give talks in the journal club.  Visits to local universities can be arranged.

1. Advanced PhD students and postdoctoral fellows can apply for a two-month AIMS Research Fellowship.

2. Researchers who wish to visit AIMS for a period of time (normally between two and six months) are encouraged to  to apply for a longer-term AIMS Research Fellowships. Preference will be given to African applicants, particularly those from SADC member states.

3. Research in pairs initiative: 2-4 week visits by a South African researcher and a local research partner from another university or an international research partner or a PhD or postdoctoral student.

Application process

Each applicant should provide a curriculum vitae including degrees and awards received, and a list of publications, as well as a statement of future research and career plans. Applications should be sent to research-admin@aims.ac.za

Applicants must also arrange for two confidential reference letters from academics familiar with their research to be sent in support of their application. Referees should email reference letter directly to the AIMS South Africa Administrative Officer.

Application for Bursary for Master’s or PhD Study at a South African University

AIMS is offering a matching half bursary (maximum R45 000) to its recent graduates who wish to study towards a Research Master’s or PhD degree at a South African University. Please note that applicants are responsible for their repatriation fee deposits if necessary.

Bursaries are only awarded under the following conditions:

  1. That the university will pay a matching amount from its own funds or from research funds of the
    supervisor towards the bursary.
  2. That AIMS approves the study programme and topic.
  3. That the student will not do more than 10 hours of tutoring services per week to generate additional
    income.
  4. That the university will waive the difference between fees for foreign students and local students in
    addition to the bursary offered.
  5. That the student commences the study programme by February of the year following completion of
    completing the AIMS programme.

The bursary is paid in two parts, the first on registration and the second, 9 months later, on receipt of a satisfactory progress report

Prospective applicants are required to complete the application form and to submit this to academic-admin@aims.ac.za with the following documentation

  1. A short proposal of the intended research topic.
  2. A letter from the proposed supervisor or department, confirming acceptance on to the programme, and the awarding of a matching half bursary; the amount of the bursary must be specified.
  3. A brief CV of the supervisor, if the supervisor has has not previously supervised AIMS students, or is not known to AIMS
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