LABORATORY FOR ARTIFICIAL INTELLIGENCE IN DESIGN LIMITED
Postdoctoral Fellow / Research Associate / Research Assistant
(Ref. No.: AiDLab/P2.2/R114-116)
[Appointment period: 36 months]
Duties
The appointee will assist the project leader in the research project – FabricFlow: AI-Integrated Textile Supply Ecosystem. This interdisciplinary project addresses the critical challenges of fragmented data, lack of traceability, and sustainability compliance in the global textile supply chain. By combining advanced AI techniques, including deep learning for fabric recognition, language models for supplier analysis, and real-time data integration, the project aims to revolutionise how fabric materials are identified, tracked, and validated across sourcing and production networks.
You will be part of a dynamic team responsible for developing the underlying AI infrastructure, integrating supply chain data, and supporting the creation of intelligent tools that promote transparency, sustainability, and efficiency in textile manufacturing and merchandising workflows.
Post No.1
Qualifications
For the Postdoctoral Fellow post, applicant should:
(a) Hold a PhD (or be close to completion) in computer science, machine learning, data science, applied mathematics, or a closely related discipline.
(b) Have demonstrable research experience in areas relevant to the project, such as computer vision, supply chain analytics, deep learning, or multimodal data integration.
(c) Possess strong programming skills, with practical expertise in Python and/or C++, and familiarity with machine learning frameworks such as PyTorch or TensorFlow.
For the Research Associate/ Assistant post, applicant should:
(a) Hold a Master’s degree (for Research Associate) or Bachelor’s degree (for Research Assistant) in computer science, data analytics, engineering, applied mathematics, or other relevant disciplines.
(b) Have experience or training in AI/ML tools, preferably including computer vision or NLP applications.
(c) Be proficient in at least one programming language (e.g. Python) and familiar with data processing or model development workflows.
Candidates with less qualification and experience may be considered at the level of Research Assistant.
For the Research Assistant post, applicants should have a Bachelor’s degree in computer science, data science, software engineering, or a related discipline, with demonstrable programming skills and an interest in AI or supply chain technologies.
Post No.2
Qualifications
For the Postdoctoral Fellow post, applicant should:
(a) Hold a PhD (or be close to completion) in computer science, natural language processing, machine learning, data science, computational linguistics, or a closely related discipline.
(b) Demonstrate research experience in language modelling, semantic data processing, or the application of large language models (LLMs) to structured and unstructured datasets.
(c) Have a strong foundation in machine learning, with practical experience in developing, fine-tuning, or evaluating deep learning models for NLP tasks (e.g. text classification, information extraction, entity recognition).
(d) Possess advanced programming skills in Python and familiarity with modern NLP frameworks such as HuggingFace Transformers, SpaCy, or related libraries, as well as experience with PyTorch or TensorFlow.
For the Research Associate/Assistant post, applicants should:
(a) Hold a Master’s degree (for Research Associate) or Bachelor’s degree (for Research Assistant) in computer science, computational linguistics, artificial intelligence, or a related discipline.
(b) Have practical experience or coursework in NLP, text analytics, or applied language modelling, including exposure to tools such as Transformers, BERT, GPT, or related architectures.
(c) Be proficient in Python and familiar with libraries for NLP, data handling, and model development.
Candidates with less qualification and experience may be considered at the level of Research Assistant.
For the Research Assistant post, applicants should have a Bachelor’s degree in computer science, AI, linguistics with programming skills, or another relevant discipline, with demonstrated interest or coursework in natural language processing and data-driven AI applications.
Post No.3
Qualifications
For the Postdoctoral Fellow post, applicants should:
(a) Hold a PhD (or be close to completion) in computer science, human–computer interaction (HCI), software engineering, AI systems design, or a closely related discipline.
(b) Demonstrate experience in designing and implementing end-to-end platforms that integrate machine learning models particularly language processing and/or computer vision components into usable tools or applications.
(c) Have strong proficiency in software architecture, backend/frontend integration, and interface development for complex data systems.
(d) Be skilled in programming languages such as Python, JavaScript (e.g. React, Node.js), or C++, and experienced with API development and deployment of AI models in production environments.
For the Research Associate/ Assistant post, applicants should:
(a) Hold a Master’s degree (for Research Associate) or Bachelor’s degree (for Research Assistant) in computer science, interactive systems, data engineering, or a related discipline.
(b) Have hands-on experience in developing web-based platforms, user interfaces, or backend systems, ideally involving AI model integration.
(c) Be proficient in programming languages commonly used in full-stack development (e.g. Python, JavaScript/React, HTML/CSS) and familiar with API and database design.
Candidates with less qualification and experience may be considered at the level of Research Assistant.
For the Research Assistant post, applicants should have a Bachelor’s degree in computer science, software engineering, or a related discipline, with demonstrable coding skills and interest in AI system deployment, interface development, or HCI.
Application
Applicants are invited to contact Dr Elif Ozden Yenigun at [via CTgoodjobs Apply Now] for further information. Please provide a detailed curriculum vitae to the AiDLab by email to [our mailbox through CTgoodjobs Apply Now].
Remuneration
A highly competitive remuneration package will be offered. Applicants should state their current and expected salary in the application.
Job Types: Full-time, Contract
Benefits:
- Dental insurance
- Employee pension
- Maternity leave
- Medical Insurance
- Paid sick time
- Professional development
Schedule:
Work Location: In person
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