22 Data Science jobs in Western Cape
Data Science Manager
Posted today
Job Viewed
Job Description
3 days ago Be among the first 25 applicants
Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We're a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it's only right that we ended up with the name ‘Kuda' which means ‘love' in Shona, a language spoken in the southern part of Africa.
We're giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We've raised over $90 million from some of the world's most respected institutional investors, and we're rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.
Role Overview
As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.
You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.
Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.
Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda's impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.
Key Responsibilities
- Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment
- Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections
- Cross-Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems
- Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies
- Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards
- Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders
- Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities
- Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects
- Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud)
- Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable
- Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders
- Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
Why join Kuda?
At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:
A great and upbeat work environment populated by a multinational team
Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate and etc)
Perkbox
️Goalr - employee wellness app
Award winning L&D training
We are advocates of work-life balance, working in a hybrid in office schedule
Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.
We don't regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Other
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Kuda by 2x
Sign in to set job alerts for “Data Science Manager” roles.City of Cape Town, Western Cape, South Africa 10 hours ago
Statistical Data Scientist, Advanced Data ScienceCape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Science Specialist
Posted 13 days ago
Job Viewed
Job Description
Western Cape, Cape Town
Hourly Basic Salary (Market related, Negotiable)
An opportunity exists for a Data Science Specialist to join our Client, a leading South African establishment with an international footprint. This is a contract role and is based in Cape Town (hybrid working environment).
The ideal candidates will bring strong experience in data modelling, advanced analytics, and business intelligence reporting, with a particular focus on Power BI , MS Databricks , and SQL .
Key Responsibilities
- Develop and maintain executive-level dashboards and reports using Power BI
- Leverage Databricks for data processing, analysis, and insight generation
- Extract, transform, and manage large datasets using SQL
- Translate complex data into actionable insights for leadership teams across South Africa and the broader African region
- Proven experience working in enterprise-scale environments
- Strong business acumen with a focus on decision-support analytics
- Ability to communicate insights clearly to C-level stakeholders
Mandy Gilbert #J-18808-Ljbffr
Data Science Specialist
Posted 10 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and maintain executive-level dashboards and reports using Power BI
- Leverage Databricks for data processing, analysis, and insight generation
- Extract, transform, and manage large datasets using SQL
- Translate complex data into actionable insights for leadership teams across South Africa and the broader African region
Requirements:
- Proven experience working in enterprise-scale environments
- Strong business acumen with a focus on decision-support analytics
- Ability to communicate insights clearly to C-level stakeholders
Senior Data Science Consultant
Posted today
Job Viewed
Job Description
Statistical Data Scientist, Advanced Data Science
Posted 11 days ago
Job Viewed
Job Description
Join to apply for the Statistical Data Scientist, Advanced Data Science role at Zindi
Statistical Data Scientist, Advanced Data ScienceJoin to apply for the Statistical Data Scientist, Advanced Data Science role at Zindi
Get AI-powered advice on this job and more exclusive features.
About Us
Advanced Data Science Pty (Ltd) is a boutique data science consultancy specialising in predictive and prescriptive analytics. A big part of the role will be predictive analytics using time series forecasting and statistical inference.
About Us
Advanced Data Science Pty (Ltd) is a boutique data science consultancy specialising in predictive and prescriptive analytics. A big part of the role will be predictive analytics using time series forecasting and statistical inference.
Advanced Data Science is a remote-first company. Periodic travel to clients (in Johannesburg or Cape Town) might be required from time to time.
About The Role
The role of Statistical Data Science is to blend problem solving, statistics, and software engineering.
The idea of translating business problems into statistical problems must appeal to you.
We are seeking a candidate that enjoy Research and Development and is willing to improve his personal capability to stay abreast of new developments in Data Science. This role will include client interaction and you will be expected to take ownership of your solution and collaborate with key
stakeholders to obtain the necessary business acumen. You will need to work closely with your colleagues who will mentor and support you where needed. We will expect that you develop statistical and machine learning models which provide actionable insights, identify trends, and accurately measure performance. The position will help you grow as a data scientist by exposing you to different aspects and challenges of the role.
Must-haves
- Postgraduate in Statistics, Analytics or Operational Research.
- Formal courses in multivariate statistics, (glm) regression theory, machine learning, and a Bayesian course.
- Confidence in your statistical knowledge and ability to apply it.
- R or Python Programming languages. (You must ideally be very proficient in at least one of these languages).
- Ability and interest to learn how to write robust, reusable and testable code.
- Experience and use of Git based technologies. (Use of a GUI is fine).
- Some prior work experience would be an advantage: internships, holiday work or fulltime employment.
- Ability to collaborate effectively within team context.
- Self-motivated and driven with ability to work independently.
- Experience in Time Series Forecasting
- Experience with mathematical optimisation
- Experience with simulation
- Experience with STAN or another probabilistic language
- Experience in analytical webapp development (R’s Shiny or Python’s Dash)
- Data wrangling / SQL development / Database Design
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Zindi by 2x
Get notified about new Data Scientist jobs in Cape Town, Western Cape, South Africa .
Cape Town, Western Cape, South Africa 4 days ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 3 weeks ago
Cape Town, Western Cape, South Africa 3 weeks ago
Cape Town, Western Cape, South Africa 3 weeks ago
Cape Town, Western Cape, South Africa 1 day ago
Bellville, Western Cape, South Africa 2 days ago
Cape Town, Western Cape, South Africa 21 hours ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 21 hours ago
Cape Town, Western Cape, South Africa 1 day ago
Cape Town, Western Cape, South Africa 30 minutes ago
Cape Town, Western Cape, South Africa 4 days ago
Cape Town, Western Cape, South Africa 2 days ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 2 weeks ago
Freelance Software Developer (Python) - AI TrainerCape Town, Western Cape, South Africa 2 weeks ago
Cape Town, Western Cape, South Africa 3 weeks ago
I want to work at Lula sometime in the future!Cape Town, Western Cape, South Africa 1 week ago
Freelance Software Developer (Python) - Quality Assurance (AI Trainer)Cape Town, Western Cape, South Africa 4 weeks ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 4 weeks ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 1 month ago
Cape Town, Western Cape, South Africa 22 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSenior Software Engineer - Data Science (CH1148)
Posted 18 days ago
Job Viewed
Job Description
Our client is a medium-sized engineering company based in Stellenbosch, specializes in the design, development, integration, implementation, and support of complex hardware and software systems. The client’s Data Science team is looking for a Senior Software Engineer with strong Data Science expertise to help design and implement cutting-edge machine learning and AI features. These features will unlock powerful insights and real value from the massive volumes of data processed by our large-scale, real-time distributed systems.
In this role, you'll collaborate with a team of highly skilled professionals in a dynamic and innovative environment. You’ll be involved from the very beginning of the product lifecycle— evolving ideas, implementation, all the way to deployment at client sites. This is a rare opportunity to build solutions that have real-world impact while working at the intersection of software engineering and data science.
The ideal candidate is a proactive problem solver who takes full ownership of his/her work and thrives in dynamic environments. You are naturally curious, adaptable and eager to learn. Strong communication skills are essential, as you'll be expected to convey complex technical concepts clearly to both technical peers and non-technical stakeholders. You’ll collaborate closely across multiple teams to tackle challenging, real-world problems—always keeping the end user and support teams in mind to ensure that the features you help build are both impactful and practical.
Required:
- Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a focus on data science, AI, or machine learning.
- At least 4 years of hands-on experience in a data science or data-focused software engineering role.
- Proven experience in the training, deployment and operational support of machine learning or AI models in production environments.
- Strong programming skills in Python and/or Java, with a solid understanding of software engineering principles and best practices.
- Proficient in database design and querying, including experience with SQL and working with large datasets.
- Comfortable working in Unix-based environments, including scripting, troubleshooting and networking.
- Experience with data wrangling, feature engineering and model evaluation techniques.
- Experience with version control systems, container technologies, microservice-based architectures, and CI/CD pipelines tailored for machine learning workflows.
- Masters in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
- Experience working with real-time or event processing systems, such as Apache Kafka.
- Strong understanding of distributed systems and scalability challenges in big data environments.
- Practical experience with audio processing, NLP, LLM or RAG techniques.
- Experience building and deploying ML services as dynamically scalable microservices.
- Proven ability to mentor junior team members and contribute to technical leadership within a team.
- Background in telecommunications, signal processing or IP networks will be a big bonus.
- Kafka
- Java
- Git
- Vertica
- Grafana
- Elasticsearch
- gPRC
- Python
- Jupyter
- Docker
- Exciting personal and career growth opportunities.
- A collaborative, relaxed, and innovative work culture.
- The chance to work with state-of-the-art technologies and complex distributed systems.
- Hybrid working (In office 3 Days per week)
Other:
- Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
- Only SA Citizens will be considered
- Please include your current salary and salary expectations.
Desired Skills:
- Artificial Intelligence
- Data Science
- Database Design
- Java
- Machine Learning
- Programming
- Python
Assistant Professor, Teaching Stream - Data Science
Posted 18 days ago
Job Viewed
Job Description
Press Tab to Move to Skip to Content Link
Select how often (in days) to receive an alert:
Assistant Professor, Teaching Stream - Data ScienceDate Posted: 07/14/2025
Closing Date: 11/17/2025, 11:59PM ET
Req ID: 44011
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)
Description:
The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026.
This search aligns with the University’s commitment to strategically and proactively promote diversity among our community members ( Statement on Equity, Diversity & Excellence ). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.
The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of excellence in teaching.
We are seeking candidates whose teaching interests will complement and enhance the department’s strengths in education . Applicants must have teaching experience in statistics, biostatistics, or data science within a degree-granting program, at the undergraduate level for students specializing in statistics or related fields with strong mathematical and computational components. This includes experience in course design, lecture preparation and delivery, curriculum development, and the creation of online educational materials.
Candidates must show a strong commitment to pedagogical excellence and innovation, as evidenced by engagement in teaching-related activities and pedagogical inquiry. A demonstrated interest in advancing teaching practices and curriculum development is essential.
Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content that incorporates real-world data and applied statistical methods. Furthermore, we prefer that candidates have experience in interdisciplinary collaboration as a statistician or data scientist on projects involving genuine applications of statistical or data science methods.
Preferred qualifications include a demonstrated interest in supervising undergraduate research projects, experience managing large enrolment courses and teaching assistants, and a collaborative approach to course coordination and teaching.
Evidence of excellence in teaching and commitment to pedagogical scholarship should be demonstrated through teaching accomplishments such as teaching awards, peer-reviewed presentations at major conferences, a comprehensive teaching dossier (as outlined in the application instructions below), and strong letters of reference from referees of high standing.
Salary will be commensurate with qualifications and experience.
All qualified candidates are invited to apply online at Academic Jobs Online, and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations.
E quity, diversity and inclusion are essential to academic excellence as articulated in University of Toronto’s Statement on Equity, Diversity and Excellence . We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.
Applicants must also arrange to have three letters of reference (dated, on letterhead and signed ) uploaded through Academic Jobs Online directly by the writers by the closing date. At least one reference letter must primarily address the candidate's teaching.
All applicant materials, including recent signed reference letters, must be received byNovember 17, 2025.
CAUTION : This ad is “posted only” to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position.
All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Diversity Statement
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.
Accessibility Statement
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 .
Be The First To Know
About the latest Data science Jobs in Western Cape !
Senior Software Engineer - Data Science (CH1148)
Posted 10 days ago
Job Viewed
Job Description
Our client is a medium-sized engineering company based in Stellenbosch, specializes in the design, development, integration, implementation, and support of complex hardware and software systems. The client’s Data Science team is looking for a Senior Software Engineer with strong Data Science expertise to help design and implement cutting-edge machine learning and AI features. These features will unlock powerful insights and real value from the massive volumes of data processed by our large-scale, real-time distributed systems.
In this role, you'll collaborate with a team of highly skilled professionals in a dynamic and innovative environment. You’ll be involved from the very beginning of the product lifecycle— evolving ideas, implementation, all the way to deployment at client sites. This is a rare opportunity to build solutions that have real-world impact while working at the intersection of software engineering and data science.
The ideal candidate is a proactive problem solver who takes full ownership of his/her work and thrives in dynamic environments. You are naturally curious, adaptable and eager to learn. Strong communication skills are essential, as you'll be expected to convey complex technical concepts clearly to both technical peers and non-technical stakeholders. You’ll collaborate closely across multiple teams to tackle challenging, real-world problems—always keeping the end user and support teams in mind to ensure that the features you help build are both impactful and practical.
Required:
- Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a focus on data science, AI, or machine learning.
- At least 4 years of hands-on experience in a data science or data-focused software engineering role.
- Proven experience in the training, deployment and operational support of machine learning or AI models in production environments.
- Strong programming skills in Python and/or Java, with a solid understanding of software engineering principles and best practices.
- Proficient in database design and querying, including experience with SQL and working with large datasets.
- Comfortable working in Unix-based environments, including scripting, troubleshooting and networking.
- Experience with data wrangling, feature engineering and model evaluation techniques.
- Experience with version control systems, container technologies, microservice-based architectures, and CI/CD pipelines tailored for machine learning workflows.
Preferred:
- Masters in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
- Experience working with real-time or event processing systems, such as Apache Kafka.
- Strong understanding of distributed systems and scalability challenges in big data environments.
- Practical experience with audio processing, NLP, LLM or RAG techniques.
- Experience building and deploying ML services as dynamically scalable microservices.
- Proven ability to mentor junior team members and contribute to technical leadership within a team.
- Background in telecommunications, signal processing or IP networks will be a big bonus.
Tech Stack:
- Kafka
- Java
- Git
- Vertica
- Grafana
- Elasticsearch
- gPRC
- Python
- Jupyter
- Docker
What’s on Offer
- Exciting personal and career growth opportunities.
- A collaborative, relaxed, and innovative work culture.
- The chance to work with state-of-the-art technologies and complex distributed systems.
- Hybrid working (In office 3 Days per week)
Other:
- Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
- Only SA Citizens will be considered
- Please include your current salary and salary expectations.
Senior Software Engineer â Data Science
Posted 10 days ago
Job Viewed
Job Description
For those who dont just write code but launch innovations.
This isnt your average data science role. Join a tight-knit team building ML/AI features that power real-time insights across massive, distributed systems. Youll be hands-on from idea to deployment, navigating complexity with a clear sense of purpose. Whether you're scripting in Unix, scaling microservices, or wrangling data for ML models, your work will land where it matters-in systems relied on worldwide.
Expect freedom to explore, ownership of outcomes, and a collaborative culture that backs both excellence and experimentation. Its not just about building thingsit's about launching things that work at scale and make a difference.
Skills & Experience:
4+ years in data science or data-focused engineering
Production-grade experience deploying ML/AI models
Strong in Python and/or Java
Solid with SQL, large datasets, and database design
Data wrangling, feature engineering, and model evaluation
Proficient in Unix scripting and troubleshooting
Comfortable with CI/CD for ML workflows, microservices, and containers
Bonus: audio processing, NLP, LLM, or RAG techniques
Kafka, gRPC, Docker, Vertica, Grafana, Elasticsearch experience beneficial
Qualification:
Bachelors in Data Science, Computer Science, Engineering, or related
Masters preferred
Contact DYLAN MAWONA on
Research Chair: Applied Agricultural and Food Data Science
Posted 1 day ago
Job Viewed
Job Description
In the framework of a DAAD-funded project focused on Sustainable and Resilient Food Systems and Applied Agricultural and Food Data Science, the University of the Western Cape (Cape Town, South Africa) is seeking to appoint a Research Chair at the level of Associate Professor/Professor, starting from 1 March 2026.The Chair is funded by the German Academic Exchange Service (DAAD) with funds from the Federal Ministry of Research, Technology and Space (BMFTR).
A key component of this project is the establishment of a Centre of Excellence at the University of the Western Cape, dedicated to sustainable and resilient agri-food systems, as well as applied agricultural and food and nutritional data science. The centre’s primary objective is to further develop the expertise of doctoral students, early-career researchers, and university lecturers through application-oriented and transdisciplinary research in agri-food systems and applied data science. It also aims to enhance teaching methodologies and mentorship programmes within these interdisciplinary fields.
The Centre is established within a German-African university consortium, co-led by the University of Hohenheim and the University of the Western Cape, with the University of Pretoria and the Lilongwe University of Agriculture and Natural Resources as core partners and the University of Mpumalanga as associate partner.
Within the Centre, a Research Chair is created to advance the linkage between agri-food systems research and data science. The Research Chair will, together with the management team, lead and coordinate the activities of the Centre, and serve as a liaison between the Centre and the research groups at the partnering institutions (including the NRF-funded Research Chair on farming systems at the University of Mpumalanga). The duration of the contract position is tied to the project’s duration which ends December 2029.The position is financed by the DAAD with funds from the BMFTR, reporting directly to the Deputy Vice Chancellor responsible for Research and Innovation at the University of the Western Cape.
The successful candidate will be responsible for the following key performance areas:
- Establish and advance an independent research agenda aligned with the Centre’s research themes;
- Strengthen the research profile of the Centre via active participation, postdoctoral and PhD supervision, publications, and innovative contributions;
- Facilitate learning events affiliated to resilient food systems and agri-food data sciences;
- Spearhead the liaison between the Centre and the research groups at the partnering institutions in the consortium with the aim of deepening the synergistic relationships and creating possibilities for creating new opportunities and channels of funding;
- Work with the eResearch Office, the Information and Communication Services (ICS) on Research Data Management (RDM) and High Performance Computing issues related to agri-food systems;
- Facilitate research grants and learning and/or teaching stays for German doctoral students, university lecturers and (young) researchers in South Africa;
- Facilitate regular webinars and seminars on Resilient Food Systems and Agri-Food Data Science;
- Develop mechanisms for long term sustainability of the Centre of Excellence;
- Work with relevant departments on the establishment of agri-food data science short courses for the industry.
- You must be a citizen of an EU member state.
- Applicants (m/f/d) should generally have lived in the Federal Republic of Germany for the last two years before applying. Close contact with a German university is also essential during the period abroad.
- Possession of a Ph.D. in one of the following fields: Data Science, Computer Science, Computer Engineering, or Food Systems/Agriculture with a demonstrated expertise in Data Science applications.
- Experience in teaching undergraduate and postgraduate data science courses at a German University.
- A track record of quality peer-reviewed publications in accredited journals and conferences, and research in data science, preferably in the context of Agri-food Systems.
- A track record of successful postgraduate supervision of both Masters and PhD students in Data Science and/or Agri-food Systems.
- Evidence of international presence in data science related research fields.
- Evidence of leadership experience and ability to work in multinational and multicultural research environments.
The following documents must be submitted with the application:
- a cover letter outlining your interest.
- a separate description of your research vision for the Centre of Excellence.
- a curriculum vitae including a list of publications.
- contact information for three referees.
- a brief teaching dossier, preferably on data science and food systems related modules including teaching evaluations.