University of Hertfordshire, United Kingdom
The University of Hertfordshire, through its Hertfordshire Business School, is now accepting applications for a fully funded and fully paid PhD studentship for the 2026 academic cycle. This exceptional opportunity is hosted within the Big Data and Innovation Lab and is open to UK, EU, and international students, making it a truly global doctoral programme.
Unlike many PhD opportunities that offer partial funding or limited financial support, this studentship provides complete tuition coverage alongside a generous annual stipend of £20,780 (tax-free) to support living expenses throughout the duration of the programme. For ambitious researchers interested in big data, machine learning, software development, agritech, and sustainability, this PhD studentship offers the resources, mentorship, and applied research environment needed to build a high-impact academic and professional career.
Overview of the Studentship
This PhD studentship is embedded within the HARVIST Project (Hub for Agricultural Resilience through Value-chain, Irrigation, Storage, and Technology). HARVIST is an innovative, multidisciplinary research initiative aimed at designing and piloting three fully integrated, digitally enabled agricultural ecosystems.
The core goal of the project is to create agricultural systems that are not only technologically advanced but also sustainable, scalable, and economically viable, particularly within African contexts, with a strong focus on Nigeria. These ecosystems are intended to be replicable and franchise-ready, ensuring long-term impact beyond the research phase.
Key components of the HARVIST ecosystems include:
- Solar-powered irrigation systems to support climate-resilient farming
- Cold storage infrastructure to reduce post-harvest losses
- Traceable logistics platforms for transparency across the agricultural value chain
- Predictive maintenance systems for agricultural machinery
- Blockchain-enabled digital marketplaces to support fair pricing and trust
Through this studentship, the successful candidate will play a central role in developing and evaluating the digital intelligence that underpins these systems.
Research Focus and Academic Experience
The PhD research will sit at the intersection of big data analytics, machine learning, software engineering, and agricultural innovation. The student will work with large, complex datasets to design and deploy advanced machine learning models that support decision-making across agricultural value chains.
Research activities will include:
- Developing and testing supervised and unsupervised learning models
- Applying deep learning techniques, including neural networks and generative algorithms
- Designing data-driven predictive tools for sustainability and operational efficiency
- Building and integrating front-end and back-end software solutions
- Exploring the role of digital platforms and blockchain in agricultural resilience
Beyond technical research, the project emphasizes real-world impact, sustainability, and applied problem-solving. The successful candidate will contribute to a pioneering digital framework for climate-resilient food systems, gaining experience that is highly valued in both academia and industry.
Supervision and Mentorship
The PhD candidate will be supervised by two highly experienced academics:
- Professor Hafiz Alaka
- Professor Amin Hosseinian Far
Both supervisors have extensive expertise in big data analytics, applied machine learning, agritech innovation, and interdisciplinary research. Throughout the PhD journey, the student will benefit from structured mentorship, regular supervision meetings, and access to the University of Hertfordshire’s strong research networks.
This supportive environment is designed to help doctoral researchers publish in reputable journals, present at international conferences, and build a competitive academic profile.
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Ideal Candidate Profile
Applicants should demonstrate strong academic foundations and a clear interest in applied, impact-driven research. Suitable candidates will typically meet the following criteria:
Academic Background
- A Bachelor’s and Master’s degree in computing, data science, artificial intelligence, engineering, or a closely related discipline
Technical Skills and Knowledge
- Solid understanding of big data analytics
- Practical experience with machine learning methods, including supervised and unsupervised learning
- Familiarity with deep neural networks, support vector machines, BART, and related techniques
- Experience or interest in generative algorithms (desirable)
- Skills in software or plug-in development
- Ability to perform data visualization and interpretation
Additional Experience and Interests
- Awareness of or interest in sustainability and climate-resilient systems
- Motivation for management-focused and applied research
- Prior exposure to or interest in African agritech ecosystems (highly desirable but not mandatory)
This studentship is particularly suitable for candidates aiming for careers in academia, industry research, innovation labs, policy-driven research, or advanced technical leadership roles.
Funding and Financial Support
The University of Hertfordshire PhD studentship offers a comprehensive funding package that includes:
- Full tuition fee waiver for the entire three-year PhD programme
- Annual tax-free stipend of £20,780 to cover living expenses
Please note that international students who require a UK student visa will be responsible for covering their visa application fees and the Immigration Health Surcharge.
Application Process
Applicants must submit a complete application package, which includes the following documents:
- Completed PhD application form
- Research proposal (maximum of 2,000 words)
- Two academic references, sent directly by referees
- Degree certificates and academic transcripts
- English language proficiency certificate (IELTS 6.5 or equivalent, for non-native English speakers)
- Updated CV
- Personal statement
- Copy of passport bio-data page
All application materials should be submitted via email to:
doctoralcollegeadmissions@herts.ac.uk
Key Dates
- Application Deadline: 24 February 2026 at 9:00 PM
- Interview Period: Week commencing 5 March 2026
- Studentship Start Date: As soon as possible after selection
For informal enquiries, applicants may contact:
- Doctoral College Admissions: doctoralcollegeadmissions@herts.ac.uk
- Professor Hafiz Alaka: h.alaka@herts.ac.uk
Why This PhD Opportunity Stands Out
Many prospective PhD candidates assume that fully funded doctoral opportunities are limited to domestic students or require insider access. This studentship challenges that assumption by offering full funding, international eligibility, structured supervision, and real-world impact.
Through this PhD, you will gain:
- Hands-on experience in cutting-edge agritech and sustainability research
- Advanced expertise in big data, machine learning, and software systems
- Practical insights into African agricultural and innovation ecosystems
- A strong foundation for careers in academia, industry research, or policy-driven innovation
If you are driven by curiosity, innovation, and the desire to apply technology to complex global challenges, this fully funded PhD studentship at the University of Hertfordshire offers an exceptional pathway to academic and professional success.