Postdoctoral Fellowship in Quantum Computing
Location: Muizenberg, Cape Town, South Africa
Start date: 1 January 2026
The Quantum@AIMS research group, led by Dr Ryan Sweke, is inviting applications for a two year postdoctoral fellowship. Research in this group is focused on foundational mathematical questions at the intersection of quantum computing, theory of machine learning and cryptography, and applicants should ideally have both a background in related topics and strong motivation to perform research in these directions. Example questions of interest include:
Can quantum computers provably offer meaningful advantages for machine learning? If not, can one prove their limitations?
Can one develop provably efficient algorithms for learning about the quantum world – i.e. for learning unknown quantum states and processes?
To what extent can one implement quantum learning algorithms in distributed settings with untrusted parties?
How can quantum cryptography be utilised to provide cryptographic advantages in security and robustness to state-of-the-art ML algorithms and models?
What foundational assumptions are necessary for cryptography — to what extent can one develop quantum cryptography in a world without one-way functions?
The positions are funded by the DAAD, as part of the “AIMS\FU Berlin Quantum Computing Partnership”. As such, while being based primarily at AIMS, the successful applicant will have the opportunity for collaboration with, and annual research visits to, the group of Prof. Dr. Jens Eisert at the Freie Universität Berlin.
Responsibilities and Expectations
- Pursue collaborative research in topics and directions such as the ones listed above and drive the establishment of new collaborations and collaborative research projects.
- Participate actively in the co-supervision and mentorship of MSc and PhD students.
- Participate actively in the organization of workshops and conferences at AIMS.
- Undertake annual research visits) to the group of Prof. Dr. Jens Eisert at the Freie Universität Berlin (up to three months per year).
In light of the above, candidates should have a strong desire to participate actively in a collaborative, open and encouraging group environment.
Requirements
- Applications should hold a PhD in physics, mathematics or computer science by 31 December 2025.
- A strong mathematical background, with a desire and ability to perform mathematical research in quantum computing on topics related to those listed above.
For more information please view the full job here.
Applying
To apply please email the below documents, in four separate pdf files, to rsweke@aims.ac.za, with the subject line “Postdoctoral Fellowship Application”:
- Full CV including a list of publications, talks and contact details of at least two references.
- Statement of motivation and research interests (max 3 pages) detailing your research interests and motivation to perform research in quantum computing, focusing on questions at the interface of quantum computing, learning theory and cryptography. Why does this research excite you?
- Proof of PhD completion, or proof of graduation by 31st December 2025. If you have already completed your PhD please also include a copy of your thesis here.
- All available academic transcripts (compiled into one pdf).
There is no deadline for applications, and the positions will be filled when suitable candidates are found.
AIMS is a vibrant inter-disciplinary and immersive pan-African research environment, and applicants should be enthusiastic to be present and contribute actively to the research environment at AIMS. Applications will be accepted from anywhere in the world, and applications from Africa and groups under-represented in the mathematical sciences are strongly encouraged
Two PhD Positions in Quantum Computing
Location: Muizenberg, Cape Town, South Africa
Start date: 1 January 2026
The Quantum@AIMS research group, led by Dr Ryan Sweke, is offering two three-year PhD positions in quantum computing and quantum information, with the possibility of an additional one year extension. The scope for both positions is broad, but it is envisaged that successful applicants will work on foundational mathematical questions at the intersection of quantum computing, theory of machine learning and cryptography. Example questions of interest include:
Can quantum computers provably offer meaningful advantages for machine learning? If not, can one prove their limitations?
Can one develop provably efficient algorithms for learning about the quantum world – i.e. for learning unknown quantum states and processes?
To what extent can one implement quantum learning algorithms in distributed settings with untrusted parties?
How can quantum cryptography be utilised to provide cryptographic advantages in security and robustness to state-of-the-art ML algorithms and models?
What foundational assumptions are necessary for cryptography — to what extent can one develop quantum cryptography in a world without one-way functions?
Successful applicants will be formally registered as PhD students in the Department of Mathematical Sciences at Stellenbosch University. The positions are funded by the DAAD, as part of the “AIMS\FU Berlin Quantum Computing Partnership”. As such, while being based primarily at AIMS, students will have the opportunity for collaboration with, and annual research visits to, the group of Prof. Dr. Jens Eisert at the Freie Universität Berlin.
Requirements
- An MSc in physics, mathematics or computer science, completed within the last two years, or a letter certifying enrolment in such an MSc with the intent to graduate by 31 December 2025.
- A strong mathematical background, with a desire to perform mathematical research in quantum computing on topics related to those listed above.
For more information please view the full job here.
Applying
To apply please email the below documents, in four separate pdf files, to rsweke@aims.ac.za, with the subject line “PhD Application”:
- Comprehensive Curriculum Vitae (including contact details of at least two references).
- Statement of Motivation (at least one page,max 3 pages) detailing your motivation to undertake a PhD in quantum computing, focusing on questions at the interface of quantum computing, learning theory and cryptography. Why do these specific topics excite you? Why do you want to do a PhD?
- Proof of MSc completion, or proof of enrolment with intent to graduate by 31st December 2025. If you have already completed your MSc please also include a copy of your thesis here.
- All available academic transcripts (compiled into one pdf).
There is no deadline for applications, and the positions will be filled when suitable candidates are found.
AIMS is a vibrant inter-disciplinary pan-African research environment, and applicants should be enthusiastic to be present and contribute actively to the research environment at AIMS. Applications will be accepted from anywhere in the world, with applications from students in Africa and groups under-represented in the mathematical sciences strongly encouraged.
AI in Science Postdoctoral Fellowship
Location: Muizenberg, Cape Town, South Africa
Duration: 1 September 2027 to 31 August 2028
The African Institute for Mathematical Sciences in South Africa invites applications for an Artificial Intelligence in Science postdoctoral fellowship.
This one-year appointment at AIMS South Africa is linked to a one year Eric and Wendy Schmidt AI in Science Fellowship at Imperial College, London, which commences on 1 September 2026. The AI in Science Postdoctoral Fellowship at AIMS follows immediately after the Fellowship at Imperial College. Candidates are required to apply for both appointments, and the application for the Eric and Wendy Schmidt AI in Science Fellowship can be found on Imperial College’s website at: imperial.ac.uk/ix-ai-in-science/apply/.
The two back-to-back fellowships will provide a postdoctoral researcher a unique platform for innovation and an opportunity to conduct impactful research between the United Kingdom and South Africa.
The AI in Science Postdoctoral Fellow at AIMS South Africa aims to support an excellent researcher and accelerate the Postdoctoral Fellow in using AI to advance and disrupt Science or Engineering.
In Artificial Intelligence in Science, ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and astrostatistics. The fellowship is not suitable for generic AI research with general application: candidates must be aiming to substantially advance a particular area of science. Applicants could view themselves as AI researchers tackling particular pieces of science or science researchers using AI to transform their area. Extensive AI knowledge is not required, and AI training is offered.
The core requirements for the Postdoctoral Fellow are:
- Hold a PhD (or equivalent) in an appropriate discipline by 1 September 2027.
- The potential for leadership qualities in the subject, as illustrated, for example, through showing initiative on research projects.
- An outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc.
- A proposal which is within the AI in Science research remit.
For more information please view the full job here.
Applying
Because the Fellowship is linked with an Eric and Wendy Schmidt AI in Science Fellowship at Imperial College, applicants should send a subset of documents that they would submit for the Eric and Wendy Schmidt AI in Science Fellowship at Imperial College to vacancies@aims.ac.za with the email heading “AI for Science Postdoctroal Felloship”.
These are:
- A full Curriculum Vitae including publications.
Additionally, please include an additional single file with:
- Publication Elaboration: a 1 page, or less, note outlining the contribution of up to three papers by the applicant. This should be suitable for a general scientific reader.
- Research Proposal Summary: a 1 page or less, summary of the proposed research suitable for a general scientific audience including the title of the research project. Particular attention will be paid to this summary. It should answer the question of why/how this application of AI will be transformative for the target area of science.
- Research Proposal: a 3 pages or less proposal that explains why and how the proposed research could be transformative for a particular area of science. It can be structured around background, a small number of hypotheses/aims, and work packages. It can be assumed that the reader will first read the Summary and so content need not be repeated.
- Kindness Statement: a ¼ page or less outline of your view on the need for kindness among scientists. The fellows will join a cohort of fellows in AI for Science with opportunities for outreach and LMIC engagement.
Resident Researcher in Machine Learning
The African Institute for Mathematical Sciences (AIMS) South Africa is looking to hire a skilled and motivated Machine Learning Researcher to join our team in Cape Town. The successful candidate will play a key role in developing innovative machine learning algorithms and models to analyze satellite imagery, Earth observation and remote sensing data (e.g. acoustic monitoring and camera traps). Use cases could include disease modelling and prediction, and wildlife monitoring tasks. Recent trends in deep learning open up large potential for impactful research by harnessing the vast data volumes related to Earth observation and remote sensing. The researcher will have a flexi-role: work closely with CLIMADE (https://climade.health/africa/) on projects related to climate change and the spread of vector borne disease, and contribute to research in machine learning for ecological tasks.
What we are looking for:
- Ph.D. in machine learning, computer science or related field.
- Experience in collecting and processing satellite data, e.g. Sentinel-2 or Landsat-8.
- A track record of research and scientific discovery, including publications related to deep learning.
- An ability to communicate research to scientific and public audiences.
- Experience in developing, debugging and publishing research code.
What you will do:
- You will lead and pursue a long-term ambitious research agenda related to machine learning using Earth observation data (focusing on arboviral diseases in Africa) or with remote sensing data (audio, camera traps).
- You will share research findings clearly and efficiently both internally at AIMS and externally to the research community and public, verbally and in writing.
- You will enjoy working in a multi-cultural pan-African environment, 50 metres away from Cape Town’s #1 surf spot.
If you love making connections between people and ideas, if you love starting new things, enjoy scientific freedom, and you are excited about the idea of advancing machine learning in Africa, then this job is for you. AIMS has a social mission. There are opportunities to participate in activities related to AIMS and the research centre.
Application process:
To apply, please e-mail the below documents in three pdf files to our recruitment team at: ml-positions@aims.ac.za:
- Curriculum Vitae (CV)
- Cover letter detailing your relevant experience and planned research agenda
- Proof of Ph.D. completion
There is no application deadline, and the position will be filled when a suitable candidate is found.
Questions about the position may be addressed to ml-positions@aims.ac.za.
DISCLAIMER: AIMS South Africa reserves the right to disqualify ineligible, incomplete and/or inappropriate applications. AIMS also reserves the right not to make an appointment to the position as advertised. Only successful applicants will be contacted.
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