62 Research Scientist jobs in South Africa

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo).

To achieve this goal, we’re building zkSync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission.

The Role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You’ll Be Doing

• We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building.
• We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed.
• We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen.

What We Look For In You

• Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning.
• A PhD in computer science or related discipline.
• A track record of research relevant to or deployed in an industrial setting.
• Ability and willingness to produce technical blogs, reports, and papers.
• Deep understanding of software engineering best-practices.
• Ownership mindset and a track record of successfully accomplished projects.
• In-depth knowledge of common algorithms, data structures, and their computational & memory complexities.
• Proven publication history.
• Experience implementing complex prototypes both from scratch and based on existing code bases.
• Ability to produce code that leads to industrial deployment.
• English is your native language or you are completely fluent.

Working at Matter Labs

At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive.

Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace.

We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization.

If this role resonates with you, apply now for prompt feedback.

Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate.

Zindi, based in Johannesburg, Gauteng, South Africa, is seeking a Product Research Scientist, Lelapa AI . Lelapa AI is building a localized African AI lab focused on language technologies for Africans, by Africans. Our team across Africa, Europe, and North America aims to advance AI research, product development, and innovation to benefit African communities.

About the Role

We face the challenge of developing NLP models for low-resourced African languages, which require data-efficient and resource-efficient solutions. The Product Research Scientist will research, build, and improve multilingual African language models for NLP tasks such as transcription and translation.

Responsibilities

• Design, develop, and optimize NLP models for African languages, including speech recognition, sentiment analysis, and machine translation.
• Perform error analysis and understand model failures with the help of language experts.
• Develop evaluation frameworks and monitor models in production.
• Collaborate with data teams and linguists for data collection, cleaning, and annotation.
• Translate research into practical NLP applications in collaboration with product teams.
• Document research findings and present to stakeholders.
• Stay updated with advancements in NLP and machine learning.

Skills & Qualifications

• Degree in Data Science, Computer Science, NLP, or related field (Masters preferred).
• 2-3 years experience in Data Science or AI products.
• Proficiency in Python, TensorFlow or PyTorch, and NLP libraries like HuggingFace.
• Experience working in fast-paced startup environments.
• Passion for addressing linguistic and cultural challenges in Africa.
• Strong problem-solving, communication, and collaboration skills.
• Knowledge of Responsible AI and ML limitations.

Preferred

• Knowledge of African languages and NLP projects in African contexts.
• Experience with MLOps tools and low-resource language techniques.
• Publications in NLP.

Benefits

• Remote-friendly work arrangements.
• Opportunity to innovate in AI for African languages.
• Medical aid, parental leave, 25 days vacation, and impact on product roadmap.

Remuneration

R 50,000 - R 80,000 per month, depending on experience.

• Mid-Senior level

• Full-time

• Other
• IT Services and IT Consulting

• Model Development: Design, develop, and optimise NLP models tailored to African languages, dialects, and linguistic characteristics for real-world applications. This includes tasks such as language modelling, speech recognition, sentiment analysis, machine translation, and more.
• Model Diagnostics:
• Dig deep into Model Success & Failures:
• Perform error analysis (with the help of language experts) to understand where the models might be failing
• Develop processes, frameworks for understanding model failures in detail.
• Discover insights for researchers to improve their modes.
• Incorporate model explainability and interpretability metrics into the evaluations.
• Evaluation and Testing: Design and implement rigorous testing and evaluation frameworks to assess the performance and effectiveness of NLP models and products across various African languages. Contribute to continuous monitoring and analysis of models in production.
• Data Acquisition and Annotation: Collaborate with data team and linguists to curate and preprocess linguistic data specific to African languages. Develop strategies for data collection, cleaning, and annotation.
• Product Design: Work closely with the product team to translate research findings into practical, user-friendly NLP applications and tools that address real-world problems faced by Africans. Work with the product team to integrate updates and feedback into models to improve models. Iterate quickly on base models to supply product demos with finetuned models according to client domains.
• Collaboration: Collaborate with cross-functional teams, including engineers, designers, and product managers, to integrate NLP solutions into our products and ensure seamless user experiences.
• Documentation and Communication: Document research findings, methodologies, and algorithms. Present research findings and progress updates to both technical and non-technical stakeholders. Keep published model’s datasheets and model cards up to date.
• Continuous Learning: Stay current with advancements in NLP, machine learning, and related fields. Attend conferences, workshops, and seminars to enhance practice.
  
  

• Degree in Data Science Computer Science, Natural Language Processing, Machine Learning, or a related field is preferred (Masters level preferred)
• 2-3 years experience working in Data Science and/or on real-world AI products.
• Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch and NLP libraries such as HuggingFace.
• Experience or excitement for working in fast-paced startup environments and ability to manage competing priorities
• Passion for leveraging technology to address linguistic and cultural challenges to drive positive impact in Africa
• Comfortability with detailed error analysis for real-world use cases
• High attention to detail
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills.
• Ability to think critically, be self-driven and break down hard problems
• Knowledge on Responsible AI and the limitations of machine learning
• Familiarity with Agile processes.
  
  

• Knowledge of African languages.
• Experience in working on NLP projects in African contexts.
• Experience with utilising MLOps tools and models in production
• Strong background in NLP research and development, with a focus on language modeling, speech recognition, sentiment analysis, machine ranslation, or similar areas.
• A strong understanding of techniques for working with low-resourced languages (e.g. transfer learning, few shot learning, active learning)
• Publications in NLP
  
  

• Flexible work arrangements with remote-friendly policies
• Opportunity to drive research innovation in a high-growth AI startup
• Medical aid contribution
• Substantial parental leave.
• Work with cutting-edge AI technologies focused on African languages and use cases
• 25 days of vacation leave
• Direct impact on product roadmap and technology decisions
  
  

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Date Posted: 04/25/2025
Req ID: 42677
Faculty/Division: Faculty of Arts & Science
Department: Acceleration Consortium
Campus: St. George (Downtown Toronto)

Description:

The Acceleration Consortium (AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs), also called materials acceleration platforms (MAPs). These autonomous labs rapidly design materials and molecules needed for a sustainable, healthy, and resilient future, with applications ranging from renewable energy and consumer electronics to drugs. AC Staff Research Scientists will advance the field of AI-driven autonomous discovery and develop the materials and molecules required to address society’s largest challenges, such as climate change, water pollution, and future pandemics.

The Acceleration Consortium (AC) promotes an inclusive research environment and supports the EDI priorities of the unit.

Hiring is occurring on a rolling intake. Please apply ASAP and do not wait for the listed job closing date.

The Acceleration Consortium received a$200M Canadian First Research Excellence Grantf or seven years to develop self-driving labs for chemistry and materials, the largest ever grant to a Canadian University. This grant will provide the Acceleration Consortium with seven years of funding to execute its vision

The AC is developing seven advanced SDLs plus an AI and Automation lab:

• SDL1 - Inorganic solid-state compounds for advanced materials and energy
• SDL2 - Organic small molecules for sustainability and health
• SDL3 - Medicinal chemistry for improving small molecule drug candidates
• SDL4 - Polymers for materials science and biological applications
• SDL5 - Formulations for pharmaceuticals, consumer products, and coatings
• SDL6 - Biocompatibility with organoids / organ-on-a-chip
• SDL7 - Synthetic scale-up of materials and molecules (University of British Colombia partner lab)
• A central AI and Automation lab to support all the SDLs

This posted position is for a role with SDL2 (Organic Small Molecules)

We seek a scientist to develop ML-driven tools for accelerating organic synthesis and novel material discovery. The role involves leveraging cheminformatics and generative models to design molecules, predict reaction pathways, and optimize materials for applications in sustainability, healthcare, or energy.

Expertise that is desired: Cheminformatics and Machine Learning

• Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction, reaction prediction, condition optimization, retrosynthesis, interpretable machine learning, nature language processing for data-mining and human-robot interfacing,and generative models (e.g. GANs, VAE, and diffusion models) for de novo molecular design.
• Proven experience in cheminformatics pipelines using tools such as RDKit, various molecular representation and encoding methods (SMILES, SELFIES, graph-based models), QSAR, virtual screening, or molecular docking/simulations. Knowledge in quantum chemistry calculations and molecule dynamics.

Additional expertise that is desired (but not required): General Programming

• Dataset curation, database management, and data-mining skills
• Computational chemistry pipelines, and physics-informed material discovery

Additional expertise that is desired (but not required): Organic Chemistry

• Basic understanding of organic chemistry
• Collaborative experience with experimental chemists on synthetic organic chemistry or catalyst development projects.

Staff Scientists will work with a diverse team of leading experts at U of T, including Faculty Prof. Alan Aspuru-Guzik, Prof. Sophie Rousseaux,and Acceleration Consortium Staff Scientists Dr. Han Hao, Dr. Xiaoman Guo, Dr. Yang Cao, and Dr. Eric Isbrandt; as well as the broader Acceleration Consortium team.

The Staff Scientists involved in the AC are highly skilled and experienced researchers who will work independently to develop the AI and automation technologies required to build robust and scalable self-driving labs, manage these SDLs, and design and implement research programs (based on the direction of the AC’s scientific leadership team) that leverage the SDL platforms to discover materials and molecules. Moreover, the Staff Scientists will work collectively, sharing knowledge among each other, and with faculty, and trainees. This role will report to the Academic Director and Executive Director of the Acceleration Consortium.

The components and duties of the work can include:

• SDL and Automation Development

Working with the AC community, including faculty and partners, to determine the required capabilities of the SDLs to be built. Developing the plans for SDLs that will meet user requirements and designing novel instruments for automated material synthesis and characterization. Developing customized hardware and Python software packages to build SDLs. Selecting, procurement, and installation of the equipment required for SDLs.

• Research Direction

Develop research programs that leverage the AC’s SDLs and support the research objectives of AC faculty and industry partners. Using SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc.

Tasks include:

• Implementing research and development projects of AC’s industry partners when implemented in AC labs.
• Developing plans that support research collaborations and planning and estimating financial resources required for programs and/or projects.
• Working with Product Managers to ensure research outcomes meet partner requirements.
• Promoting AC’s research capacity, including delivering presentations at conferences.
• Collaboration in the preparation and submission of research proposals to granting agencies and progress reporting.
• Preparing manuscripts for submission to peer-reviewed publications/journals and stewarding them through the process.
• Other
  • Supporting consulting services related to the application of SDLs for materials discovery for the AC’s partners.
  • Support research-focused events such as the Annual Symposium

MINIMUM QUALIFICATIONS:

Education – Ph.D. inchemistry, materials science, life sciences, physics, engineering, robotics, computer science, applied mathematicsor related discipline

Experience

• 1 to 5 years of experience (inclusive of PhD and/or post-graduate work)in accelerated R&D in the area of cheminformaticsand molecule design.
• Experience working with industry partners and on industry lead research and development projects.
• Expert knowledge of AI and automation and experience with the development of self-driving laboratories
• Experience presenting research at academic conferences.

Skills

• Strong and effective communicator in oral and written English
• Collegial in working with team members and collaborators.
• Ability to work independently.

Other

• Must have a strong publication record.
• Demonstrated success in the writing and preparation of manuscripts, presentations, reports, briefs, and scientific abstracts and manuscripts for peer-reviewed journals.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority

Closing Date: 08/31/2025, 11:59PM ET
Employee Group: Research Associate
Appointment Type : Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone: R01 -- Research Associates (Limited Term): $2,574 - 98,576, salary will be assessed based on skills and experience
Job Category: Administrative / Managerial

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact .

New Orleans, LA - Downtown Campus

Sep 25, 2024

The Department of Environmental Health Sciences at the Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine (CSWSPHTM) is seeking a highly motivated postdoctoral researcher to join a multidisciplinary team working on a National Academy of Sciences Gulf Research Program-funded project. This project investigates the impacts of several climate change-induced risk factors—such as heat, humidity, tropical storms, and floods—on cardiovascular, respiratory, and mental health outcomes in the Gulf South region of the United States, determines their cumulative effects, and assesses the vulnerabilities to these impacts.

The successful candidate will be supervised by Dr. Mostafijur Rahman, Assistant Professor of Environmental Health Sciences. The postdoctoral researcher will actively engage in various scientific activities, including study design, data analysis, manuscript preparation, mentoring graduate and undergraduate students, presenting study findings at conferences, and developing research proposals. Additionally, the candidate will participate in career development activities and will be encouraged to apply for transitional career awards and/or mentored career development awards.

The initial appointment will be for one year, with the possibility of extension for up to two additional years based on performance.

A doctoral degree in a relevant field (e.g., epidemiology, environmental health sciences, biostatistics, or statistical modeling required.

Demonstrated interest in environmental health, with a preference for experience in air pollution or climate change research. Intermediate to advanced proficiency in at least one statistical and/or programming software (e.g., SAS, R, or Python) is required. Experience in exposure modeling and GIS is beneficial but not required.

All applicants should apply electronically via the following link:

Please include the following materials: A cover letter describing your research interests, curriculum vitae (CV), copies of one or two recent publications, if applicable, and contact information for three references who can speak to your academic accomplishments.

Additionally, please address applications to Dr. Mostafijur Rahman at

Materials submitted through this Tulane Jobs portal will not be considered.

Tulane is an EOE/M/F/Vet/Disabled employer.

This institution is using Interfolio's Faculty Search to conductthis search. Applicants to this position receive a free Dossieraccount and can send all application materials, includingconfidential letters of recommendation, free of charge.

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at504-865-4748or by email .

New Orleans, LA - Downtown Campus

Sep 25, 2024

The Department of Environmental Health Sciences at the Tulane University Celia Scott Weatherhead School of Public Health and Tropical Medicine (CSWSPHTM) is seeking a highly motivated postdoctoral researcher to join a multidisciplinary team working on a National Academy of Sciences Gulf Research Program-funded project. This project investigates the impacts of several climate change-induced risk factors—such as heat, humidity, tropical storms, and floods—on cardiovascular, respiratory, and mental health outcomes in the Gulf South region of the United States, determines their cumulative effects, and assesses the vulnerabilities to these impacts.

The successful candidate will be supervised by Dr. Mostafijur Rahman, Assistant Professor of Environmental Health Sciences. The postdoctoral researcher will actively engage in various scientific activities, including study design, data analysis, manuscript preparation, mentoring graduate and undergraduate students, presenting study findings at conferences, and developing research proposals. Additionally, the candidate will participate in career development activities and will be encouraged to apply for transitional career awards and/or mentored career development awards.

The initial appointment will be for one year, with the possibility of extension for up to two additional years based on performance.

A doctoral degree in a relevant field (e.g., epidemiology, environmental health sciences, biostatistics, or statistical modeling required.

Demonstrated interest in environmental health, with a preference for experience in air pollution or climate change research. Intermediate to advanced proficiency in at least one statistical and/or programming software (e.g., SAS, R, or Python) is required. Experience in exposure modeling and GIS is beneficial but not required.

All applicants should apply electronically via the following link:

Please include the following materials: A cover letter describing your research interests, curriculum vitae (CV), copies of one or two recent publications, if applicable, and contact information for three references who can speak to your academic accomplishments.

Additionally, please address applications to Dr. Mostafijur Rahman at

Materials submitted through this Tulane Jobs portal will not be considered.

Tulane is an EOE/M/F/Vet/Disabled employer.

This institution is using Interfolio's Faculty Search to conductthis search. Applicants to this position receive a free Dossieraccount and can send all application materials, includingconfidential letters of recommendation, free of charge.

Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person’s race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane’s employment or educational programs or activities.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at504-865-4748or by email .

Job category: RandD, Science and Scientific Research

Location: Randburg

Contract: Fixed Term Contract

Remuneration: Negotiable

EE position: No

Mintek has an exciting career opportunity for a POSTDOCTORAL RESEARCH FELLOW within the Pyrometallurgy Division (PMD). The candidate is required to perform tasks related to executing pyrometallurgy research and technology development. This includes being responsible for computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions.

JOB KNOWLEDGE AND REQUIREMENTS: 

• Strong understanding of computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions. 
• Proven experience with open source computational multiphysics modelling tools such as OpenFOAM .
• Proven experience with software development languages such as C and Python.
• Strong understanding of pyrometallurgy fundamentals.
• Demonstrated ability to conceptualise and deliver high impact research in fields relevant to pyrometallurgy.
• Strong portfolio of publications in peer-reviewed journals is a distinct advantage.
• A strong understanding of the South African and global metals, minerals, and energy industries.
• Experience with pyrometallurgical process software and design tools such as PyroSim, FactSage or similar is an advantage.
• Experience with CAD tools such as Fusion 360 or FreeCAD is an advantage.
• Knowledge or experience with SHEQ systems.
• Knowledge of technology transfer, commercialisation and product development is highly advantageous.
• Demonstrated ability to attract investment or R&D funding is highly advantageous.

MINIMUM REQUIREMENTS: 

§ Strong understanding of computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions.

§ Proven experience with open source computational multiphysics modelling tools such as OpenFOAM .

§ Proven experience with software development languages such as C and Python.

§ Strong understanding of pyrometallurgy fundamentals.

§ Demonstrated ability to conceptualise and deliver high impact research in fields relevant to pyrometallurgy.

§ Strong portfolio of publications in peer-reviewed journals is a distinct advantage.

§ A strong understanding of the South African and global metals, minerals, and energy industries.

§ Experience with pyrometallurgical process software and design tools such as PyroSim, FactSage or similar is an advantage.

§ Experience with CAD tools such as Fusion 360 or FreeCAD is an advantage.

§ Knowledge or experience with SHEQ systems.

§ Knowledge of technology transfer, commercialisation and product development is highly advantageous.

§ Demonstrated ability to attract investment or R&D funding is highly advantageous.

REQUIRED QUALIFICATIONS:

§ Minimum PhD in Metallurgical/Chemical/Mechanical/Process Engineering or equivalent, with a strong emphasis on modelling skills of relevance to pyrometallurgy research and technology development.

§ Ideally, one year postdoctoral research experience, with strong emphasis on computational multiphysics and reduced order modelling.

§ Familiarity with high performance computing and the use of shared/remote computational resources is desirable.

§ Professional recognition and registration are an added advantage.

§ Experience with postgraduate supervision is an added advantage.

REQUIRED BEHAVIOURAL COMPETENCIES:

§ Team player who enjoys variety and has a strong affinity for planning and conducting new and innovative projects.

§ Passion for pyrometallurgy research, technology development and technology transfer.

§ Good interpersonal skills.

§ Ability to work in a stressful and demanding environment.

§ Willing to travel locally and internationally.

§ Prepared to work shifts in hot and dusty plant environments when required.

§ Ability to independently engage with industry leaders, operators and high-level international partners.

Africa Health Research Institute (AHRI) is an independent, transdisciplinary scientific research institute based across two campuses in the province of KwaZulu-Natal (KZN) in South Africa.AHRI’s research combines population, basic and translational, social, and clinical sciences to understand and intervene in the health and well-being of South African communities.

AHRI works in partnership with local communities and South African academic, governmental, and other policy stakeholders and collaborates with over institutions globally. AHRI prioritises the training of the next generation of African scientists. The work lives of AHRI’s ~ scientists, students and staff members are driven by our values : ubuntu, transformation, leadership, innovation, excellence and collaboration.

Africa Health Research Institute seek to appoint a Post-Doctoral Research Fellow

RESPONSIBILITIES :

• Acting as the lead scientific liaison for day-to-day oversight of research activities, including conducting and leading data analyses across the study components, financial reporting, etc.
• Supporting the design of data collection instruments, obtaining IRB approvals, analyzing associated data, writing manuscripts, and submitting these for peer reviewed publication
• Working with the research teams in Durban and Somkhele to support the implementation of study protocols and to monitor data collection and quality in the field
• Supervising, orienting, and training project students and staff who contribute to these efforts. Ability to manage virtual meetings and to travel as required to project sites is required; And,
• Supporting capacity building at the project sites through presenting work to local stakeholders and research collaborators, providing guidance and mentorship to research staff involved in different aspects of the research project, and engaging stakeholders at the study sites and globally in dissemination of the project findings.

REQUIREMENTS :

• A doctoral degree in a relevant field which may include but is not limited to clinical psychology, medical anthropology, or statistics / bioinformatics. Other desirable qualifications include :
• Record of scholarly publication, including first-authored scientific journal articles.
• Expertise in research design and data analysis, including any of the following : clinical trials, grounded theory, systematic reviews, etc.
• Demonstrated track record engaging in fieldwork, involving meeting with stakeholders including adolescent study participants, clinicians, community members, and researchers.
• Experience working in or collaborating with researchers in mental health and HIV.
• Prior supervision of research team or coordination of research activities in low- and middle-income settings.
• Current knowledge of mental health problems and services in South Africa.

For more info :

Tagged as :

Postdoctoral Research Fellow • Durban, KwaZulu Natal

Job category: RandD, Science and Scientific Research

Location: Randburg

Contract: Fixed Term Contract

Remuneration: Negotiable

EE position: No

Mintek has an exciting career opportunity for a POSTDOCTORAL RESEARCH FELLOW within the Pyrometallurgy Division (PMD). The candidate is required to perform tasks related to executing pyrometallurgy research and technology development. This includes being responsible for computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions.

JOB KNOWLEDGE AND REQUIREMENTS:

• Strong understanding of computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions.
• Proven experience with open source computational multiphysics modelling tools such as OpenFOAM .
• Proven experience with software development languages such as C and Python.
• Strong understanding of pyrometallurgy fundamentals.
• Demonstrated ability to conceptualise and deliver high impact research in fields relevant to pyrometallurgy.
• Strong portfolio of publications in peer-reviewed journals is a distinct advantage.
• A strong understanding of the South African and global metals, minerals, and energy industries.
• Experience with pyrometallurgical process software and design tools such as PyroSim, FactSage or similar is an advantage.
• Experience with CAD tools such as Fusion 360 or FreeCAD is an advantage.
• Knowledge or experience with SHEQ systems.
• Knowledge of technology transfer, commercialisation and product development is highly advantageous.
• Demonstrated ability to attract investment or R&D funding is highly advantageous.

MINIMUM REQUIREMENTS:

§ Strong understanding of computational multiphysics and reduced order modelling in problems involving fluid flow, heat transfer, and chemical reactions.

§ Proven experience with open source computational multiphysics modelling tools such as OpenFOAM .

§ Proven experience with software development languages such as C and Python.

§ Strong understanding of pyrometallurgy fundamentals.

§ Demonstrated ability to conceptualise and deliver high impact research in fields relevant to pyrometallurgy.

§ Strong portfolio of publications in peer-reviewed journals is a distinct advantage.

§ A strong understanding of the South African and global metals, minerals, and energy industries.

§ Experience with pyrometallurgical process software and design tools such as PyroSim, FactSage or similar is an advantage.

§ Experience with CAD tools such as Fusion 360 or FreeCAD is an advantage.

§ Knowledge or experience with SHEQ systems.

§ Knowledge of technology transfer, commercialisation and product development is highly advantageous.

§ Demonstrated ability to attract investment or R&D funding is highly advantageous.

REQUIRED QUALIFICATIONS:

§ Minimum PhD in Metallurgical/Chemical/Mechanical/Process Engineering or equivalent, with a strong emphasis on modelling skills of relevance to pyrometallurgy research and technology development.

§ Ideally, one year postdoctoral research experience, with strong emphasis on computational multiphysics and reduced order modelling.

§ Familiarity with high performance computing and the use of shared/remote computational resources is desirable.

§ Professional recognition and registration are an added advantage.

§ Experience with postgraduate supervision is an added advantage.

REQUIRED BEHAVIOURAL COMPETENCIES:

§ Team player who enjoys variety and has a strong affinity for planning and conducting new and innovative projects.

§ Passion for pyrometallurgy research, technology development and technology transfer.

§ Good interpersonal skills.

§ Ability to work in a stressful and demanding environment.

§ Willing to travel locally and internationally.

§ Prepared to work shifts in hot and dusty plant environments when required.

§ Ability to independently engage with industry leaders, operators and high-level international partners.