191 Researchers jobs in South Africa

Job Reference Number: R876A

Department: Biomedical Research and Innovation Platform

Business Unit:

Industry: Academic

Job Type: Permanent

Positions Available: 1

Salary: Market Related

The primary purpose of this position is to provide skilled technical support to the Platform, ensuring the efficient day-to-day functioning of the laboratories and assisting with ongoing research activities as directed by the line manager.

Job Description

The primary purpose of this position is to provide skilled technical support to the Platform, ensuring the efficient day-to-day functioning of the laboratories and assisting with ongoing research activities as directed by the line manager. Responsibilities include maintaining a clean and safe laboratory environment, cleaning and autoclaving glassware, accurate record-keeping, and the proper storage of chemicals and biological materials. In addition, the successful candidate will provide technical support for a range of research procedures such as immunohistochemistry (IHC) , tissue sectioning, and DNA and RNA extractions from biological samples, as well as assisting with animal experiments and the collection of wastewater samples.

Responsibilities:

• General laboratory maintenance and support to staff and students, including IHC laboratory stock inventory, record keeping, and preparation of basic solutions for the laboratory
• Wash and autoclave laboratory glassware and consumables.
• Manage biohazardous and chemical waste removal from laboratories and for collection by waste companies in compliance with health and safety regulations.
• Managing the chemical store and supply to the laboratory when required
• Monitoring and maintaining CO2 and Liquid nitrogen tanks for the laboratory
• Assist researchers and postgraduate students in obtaining liquid nitrogen and dry ice
• Maintain laboratory stock, monitor reagents, and assist with inventory reports and quarterly stocktakes.
• Perform routine laboratory procedures, including tissue embedding, sectioning of FFPE and cryo blocks, and IHC staining, following established protocols.
• Assist with DNA/RNA isolation from biological samples under supervision.
• Support staff and students in experimental animal studies
• Collect, transport, and log laboratory and wastewater samples
• Record and compile quality control data and routine laboratory reports.
• Assist the laboratory manager with SOP compliance and quarterly health and safety inspections.

Duration:

Permanent

Remuneration:

R per annum (cost-to-company)

Job Requirements

Core Requirements:

• BSc or BTech in Molecular Biology, Biomedical Science or similar qualification
• 1 -2 years' hands-on experience in IHC staining
• 1-2 years' hands-on experience in molecular biology techniques, including RNA and DNA isolation
• Familiar with Good Laboratory Practices (GLP)
• Maintaining experimental records (lab book) and working with protocols and SOP's
• Understanding of quality control within a laboratory setting
• Valid Code B driver's licence and ability to travel for sample collection and site activities.

Advantageous:

• BSc (Hons) in Molecular Biology or related field
• Hands-on experience in immunohistochemistry (IHC) analysis.
• Hands-on experience in sample management and handling of biological specimens
• Knowledge of laboratory maintenance, including cleaning and autoclaving of glassware, and adherence to occupational health and safety protocols
• Experience in handling chemicals, biohazardous materials, and biological specimens.
• Experience of working in a GLP or SANAS-accredited laboratory or similar environment

Closing date:

26 September 2025

Eduvos is looking to hire the services of an Independent Contractor, Data Analysis Lecturer, at our Durban campus on a part-time basis.

Type of appointment:

Independent Contractor (part-time; flexible workhours agreement)

Purpose:

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Minimum qualifications required:

• Honours degree in Statistics/ Data Science / Mathematics/ Computer Science/ Information Systems or a relevant qualification (A Masters qualification will be an advantage)

Experience:

• Minimum: 1 - 2 years relevant lecturing experience
• Necessary knowledge of higher education practices and processes
• Relevant research experience

Modules to be lectured:

• Introduction to Data Analysis
• Computer Skills (All Levels)

Responsibilities:

• Lecturing
• General administration
• Setting and marking of assessments
• Preparation of notes and additional study materials
• Quality Assurance
• Management of At-risk students

Competencies

• Initiative and responsibility
• Constructive teamwork, relations and networking
• Influence
• Analysis and judgement
• Innovation and change
• Systematic approach (planning and organising)
• Steadiness (emotional tenacity)
• Communication

Eduvos
is looking to hire the services of an
Independent Contractor, Data Analysis Lecturer
,
at our
Durban
campus on a part-time basis.

Type Of Appointment
Independent Contractor (part-time; flexible workhours agreement)
Purpose

• To lecture Data Analysis-related modules, in the Law faculty on a part-time (contractual) basis.
• To assist in the administration and departmental affairs and activities as required by the academic department.

Post-Doctoral Fellowships – Council for Scientific and Industrial Research (CSIR)

The CSIR has three temporary opportunities for Post-Doctoral Fellowships in the Southern Ocean Carbon and Climate Observatory programme (SOCCO), within the Smart Places cluster, and hosted at the Marine Institute (Ma-Re), UCT. The purpose of the fellowships is to conduct research in line with three H2020 projects in which SOCCO is a partner. These positions are offered as a two-year contract with the possibility of extension for a third year. These opportunities are based in Rosebank, Cape Town.

• Southern Ocean CO 2 and heat uptake : the future role of the Southern Ocean in influencing the rates of global warming depends critically on the sensitivity of its uptake and storage of heat and anthropogenic CO 2. This sensitivity is thought to be largely dependent on the response in the physics of the mixed layer and sea ice system to climate change. This fellowship aims to use air-sea CO 2 reconstructions, high resolution models as well as Earth System Models (ESM) to examine the climate sensitivity of the mechanisms that explain CO 2 and heat ocean-atmosphere fluxes in the Southern Ocean.
• Southern Ocean emerging feedbacks in carbon cycle: the sensitivity of coupled ocean-atmosphere physical and ocean biogeochemical mechanisms to climate forcing can lead to regional non-linear responses that lead to changing feedbacks, thresholds of abrupt change and tipping pointes. This fellowship aims to use the South African ESM combination with other CMIP6 models to examine how non-linearities in the carbon cycle can be linked to specific physical and biogeochemical mechanisms, their scales and dynamics in the Southern Ocean.
• Southern Ocean Biogeochemical model development: the sensitivity of the ocean biological carbon pump to climate forcing is critical to project changing carbon feedbacks in the second half of the 21 st century, particularly in the Southern Ocean. For this fellowship the successful candidate will be a biogeochemical modeller, who will be responsible for model development through improved parameterisations of physiological processes for phytoplankton in coupled biogeochemical-physical models. This will be done based on experience in parameterisations for functional responses to multiple drivers. Observational data will be collected under varying conditions that will be used to derive and implement new relationships into numerical models.

• Initiate further independent research within the strategic objectives of the current programme;
• Assist with Master’s and Doctoral supervision of students in support of the SOCCO/UCT-Ma-Re human capital development mission;
• Lead, assist and supervise field data collection and model development;
• Contribute to the writing of numerous reviewed journal publications, and be the lead author of at least two.

• A Doctoral degree in Ocean CO 2 or biogeochemical modelling and/or observations, with experience in modelling;
• Experience in acquiring and processing large global data sets as well as running and analysing model outputs;

The Research Associate will support AfriClimate AI's applied research portfolio by contributing to the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. Working closely with the research team, the successful candidate will play a hands-on role in data preparation, model development and evaluation, ensuring that research outputs are robust, open and relevant for African contexts.

• Assist in designing, implementing, and testing AI-based climate and weather forecasting methodologies
• Preprocess and manage large geospatial datasets (e.g., observational data, satellite products, reanalysis datasets)
• Support the development of benchmarking frameworks for model evaluation, including skill scores, bias correction and uncertainty quantification
• Contribute to the setup and maintenance of MLOps pipelines for training, deployment and monitoring of AI models
• Collaborate with team members on documentation, and reproducibility of workflows

• Work with meteorological agencies, universities and international partners on joint research tasks
• Contribute to open-source datasets, code repositories and technical documentation
• Support the preparation of research outputs, including peer-reviewed articles, technical reports, and policy briefs
• Present results in internal and external meetings (workshops and conferences)

• Master's degree in Climate Science, Meteorology, Machine Learning or a related field
• Proficiency in Python
• Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, CMIP, satellite-based products)
• Knowledge of machine learning methods applied to climate or weather problems
• Familiarity with standard model evaluation metrics and statistical analysis
• Ability to work independently as well as collaboratively in distributed teams
• Ability to communicate technical work clearly

• Previous research experience on African climate datasets and/or data-sparse contexts
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, Airflow)
• Familiarity with cloud computing (AWS, GCP, Azure) or HPC workflows
• Knowledge of numerical weather prediction (NWP) systems, downscaling, or data assimilation
• Experience contributing to open-source projects or collaborative codebases

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

• Mission-driven impact: Contribute to climate resilience and equity across Africa through open, locally grounded research.
• Flexible, remote-first work: Collaborate with an international network while working from anywhere in Africa.
• Open science ethos: Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
• Professional growth: Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
• Collaborative culture: Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
• Travel opportunities: Participate in key events, workshops, and field collaborations across Africa and beyond
• Competitive compensation: Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location

Location: Johannesburg, Gauteng, South Africa

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

The Research Associate will support AfriClimate AI's applied research portfolio by contributing to the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. Working closely with the research team, the successful candidate will play a hands-on role in data preparation, model development and evaluation, ensuring that research outputs are robust, open and relevant for African contexts.

• Assist in designing, implementing, and testing AI-based climate and weather forecasting methodologies
• Preprocess and manage large geospatial datasets (e.g., observational data, satellite products, reanalysis datasets)
• Support the development of benchmarking frameworks for model evaluation, including skill scores, bias correction and uncertainty quantification
• Contribute to the setup and maintenance of MLOps pipelines for training, deployment and monitoring of AI models
• Collaborate with team members on documentation, and reproducibility of workflows

• Work with meteorological agencies, universities and international partners on joint research tasks
• Contribute to open-source datasets, code repositories and technical documentation
• Support the preparation of research outputs, including peer-reviewed articles, technical reports, and policy briefs
• Present results in internal and external meetings (workshops and conferences)

• Master's degree in Climate Science, Meteorology, Machine Learning or a related field
• Proficiency in Python
• Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, CMIP, satellite-based products)
• Knowledge of machine learning methods applied to climate or weather problems
• Familiarity with standard model evaluation metrics and statistical analysis
• Ability to work independently as well as collaboratively in distributed teams
• Ability to communicate technical work clearly

• Previous research experience on African climate datasets and/or data-sparse contexts
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, Airflow)
• Familiarity with cloud computing (AWS, GCP, Azure) or HPC workflows
• Knowledge of numerical weather prediction (NWP) systems, downscaling, or data assimilation
• Experience contributing to open-source projects or collaborative codebases

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

• Mission-driven impact: Contribute to climate resilience and equity across Africa through open, locally grounded research.
• Flexible, remote-first work: Collaborate with an international network while working from anywhere in Africa.
• Open science ethos: Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
• Professional growth: Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
• Collaborative culture: Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
• Travel opportunities: Participate in key events, workshops, and field collaborations across Africa and beyond
• Competitive compensation: Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location

Location: Johannesburg, Gauteng, South Africa

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

The Research Associate will support AfriClimate AI's applied research portfolio by contributing to the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. Working closely with the research team, the successful candidate will play a hands-on role in data preparation, model development and evaluation, ensuring that research outputs are robust, open and relevant for African contexts.

• Assist in designing, implementing, and testing AI-based climate and weather forecasting methodologies
• Preprocess and manage large geospatial datasets (e.g., observational data, satellite products, reanalysis datasets)
• Support the development of benchmarking frameworks for model evaluation, including skill scores, bias correction and uncertainty quantification
• Contribute to the setup and maintenance of MLOps pipelines for training, deployment and monitoring of AI models
• Collaborate with team members on documentation, and reproducibility of workflows

• Work with meteorological agencies, universities and international partners on joint research tasks
• Contribute to open-source datasets, code repositories and technical documentation
• Support the preparation of research outputs, including peer-reviewed articles, technical reports, and policy briefs
• Present results in internal and external meetings (workshops and conferences)

• Master's degree in Climate Science, Meteorology, Machine Learning or a related field
• Proficiency in Python
• Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, CMIP, satellite-based products)
• Knowledge of machine learning methods applied to climate or weather problems
• Familiarity with standard model evaluation metrics and statistical analysis
• Ability to work independently as well as collaboratively in distributed teams
• Ability to communicate technical work clearly

• Previous research experience on African climate datasets and/or data-sparse contexts
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, Airflow)
• Familiarity with cloud computing (AWS, GCP, Azure) or HPC workflows
• Knowledge of numerical weather prediction (NWP) systems, downscaling, or data assimilation
• Experience contributing to open-source projects or collaborative codebases

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

• Mission-driven impact: Contribute to climate resilience and equity across Africa through open, locally grounded research.
• Flexible, remote-first work: Collaborate with an international network while working from anywhere in Africa.
• Open science ethos: Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
• Professional growth: Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
• Collaborative culture: Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
• Travel opportunities: Participate in key events, workshops, and field collaborations across Africa and beyond
• Competitive compensation: Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location

Location: Johannesburg, Gauteng, South Africa

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

The Research Associate will support AfriClimate AI's applied research portfolio by contributing to the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. Working closely with the research team, the successful candidate will play a hands-on role in data preparation, model development and evaluation, ensuring that research outputs are robust, open and relevant for African contexts.

• Assist in designing, implementing, and testing AI-based climate and weather forecasting methodologies
• Preprocess and manage large geospatial datasets (e.g., observational data, satellite products, reanalysis datasets)
• Support the development of benchmarking frameworks for model evaluation, including skill scores, bias correction and uncertainty quantification
• Contribute to the setup and maintenance of MLOps pipelines for training, deployment and monitoring of AI models
• Collaborate with team members on documentation, and reproducibility of workflows

• Work with meteorological agencies, universities and international partners on joint research tasks
• Contribute to open-source datasets, code repositories and technical documentation
• Support the preparation of research outputs, including peer-reviewed articles, technical reports, and policy briefs
• Present results in internal and external meetings (workshops and conferences)

• Master's degree in Climate Science, Meteorology, Machine Learning or a related field
• Proficiency in Python
• Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, CMIP, satellite-based products)
• Knowledge of machine learning methods applied to climate or weather problems
• Familiarity with standard model evaluation metrics and statistical analysis
• Ability to work independently as well as collaboratively in distributed teams
• Ability to communicate technical work clearly

• Previous research experience on African climate datasets and/or data-sparse contexts
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, Airflow)
• Familiarity with cloud computing (AWS, GCP, Azure) or HPC workflows
• Knowledge of numerical weather prediction (NWP) systems, downscaling, or data assimilation
• Experience contributing to open-source projects or collaborative codebases

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

• Mission-driven impact: Contribute to climate resilience and equity across Africa through open, locally grounded research.
• Flexible, remote-first work: Collaborate with an international network while working from anywhere in Africa.
• Open science ethos: Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
• Professional growth: Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
• Collaborative culture: Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
• Travel opportunities: Participate in key events, workshops, and field collaborations across Africa and beyond
• Competitive compensation: Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location

Location: Johannesburg, Gauteng, South Africa

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting

The Research Associate will support AfriClimate AI's applied research portfolio by contributing to the development, fine-tuning, and validation of AI-driven climate and weather modelling tools. Working closely with the research team, the successful candidate will play a hands-on role in data preparation, model development and evaluation, ensuring that research outputs are robust, open and relevant for African contexts.

• Assist in designing, implementing, and testing AI-based climate and weather forecasting methodologies
• Preprocess and manage large geospatial datasets (e.g., observational data, satellite products, reanalysis datasets)
• Support the development of benchmarking frameworks for model evaluation, including skill scores, bias correction and uncertainty quantification
• Contribute to the setup and maintenance of MLOps pipelines for training, deployment and monitoring of AI models
• Collaborate with team members on documentation, and reproducibility of workflows

• Work with meteorological agencies, universities and international partners on joint research tasks
• Contribute to open-source datasets, code repositories and technical documentation
• Support the preparation of research outputs, including peer-reviewed articles, technical reports, and policy briefs
• Present results in internal and external meetings (workshops and conferences)

• Master's degree in Climate Science, Meteorology, Machine Learning or a related field
• Proficiency in Python
• Experience working with geospatial and gridded datasets (e.g., ERA5, CHIRPS, CMIP, satellite-based products)
• Knowledge of machine learning methods applied to climate or weather problems
• Familiarity with standard model evaluation metrics and statistical analysis
• Ability to work independently as well as collaboratively in distributed teams
• Ability to communicate technical work clearly

• Previous research experience on African climate datasets and/or data-sparse contexts
• Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)
• Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, Airflow)
• Familiarity with cloud computing (AWS, GCP, Azure) or HPC workflows
• Knowledge of numerical weather prediction (NWP) systems, downscaling, or data assimilation
• Experience contributing to open-source projects or collaborative codebases

AfriClimate AI is a grassroots research organisation advancing climate resilience in Africa through open, community-driven AI research. We focus on developing region-specific datasets, tools, and methodologies to bridge the gap between global models and local needs, supporting equitable and actionable climate solutions across the continent.

• Mission-driven impact: Contribute to climate resilience and equity across Africa through open, locally grounded research.
• Flexible, remote-first work: Collaborate with an international network while working from anywhere in Africa.
• Open science ethos: Work in a fully open-source, community-driven environment that values transparency, reproducibility, and shared ownership.
• Professional growth: Access mentorship, attend leading conferences, and shape the future of climate AI research in the Global South.
• Collaborative culture: Join a multidisciplinary, values-aligned team working at the intersection of science, technology, and social impact.
• Travel opportunities: Participate in key events, workshops, and field collaborations across Africa and beyond
• Competitive compensation: Receive a salary package that reflects your expertise, with flexibility for different levels of experience and location

Location: Johannesburg, Gauteng, South Africa

• Mid-Senior level

• Full-time

• Research

• IT Services and IT Consulting