Publisher
source

Eindhoven University of Technology

Postdoc in AI-Driven Adaptive Learning Systems (CLARA project) Eindhoven University of Technology in Netherlands

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term postdoctoral appointment for 30 months at 0.8 FTE (32 hours/week). Salary is scale 10 of the Dutch Universities CLA, approximately €4,241 to €5,538 gross per month. Additional benefits include an 8.3% year-end bonus, 8% vacation pay, training opportunities, commuting/work-from-home/internet allowances, partially paid parental leave, immigration support, tax compensation (30% facility), and moving expense compensation.

Deadline

Expired

Country flag

Country

Netherlands

University

Eindhoven University of Technology

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Keywords

Computer Science
Machine Learning
Education
Psychology
Information Technology
Artificial Intelligence
Natural Language Processing
Educational Technology
Adaptive Algorithms
Collaborative Learning
Responsible Ai
Large Language Models

About this position

Postdoc opportunity in AI-driven adaptive learning systems (CLARA project) at Eindhoven University of Technology (TU/e).

This postdoctoral position sits in the interdisciplinary CLARA project, which explores how large language model (LLM)-based AI agents can support collaborative learning in Challenge-Based Learning environments. The postdoc will form the technical core of the consortium and work closely with a PhD candidate and supervisors from engineering and educational research.

Research focus: designing, training, and refining an AI social agent that can detect socio-cognitive and socio-emotional triggers in student group work and deliver contextually appropriate scaffolding in real time. The work includes NLP/LLM system design, model fine-tuning, prompt engineering, retrieval-augmented generation (RAG), multimodal and interaction-data analysis, responsible AI, fairness auditing, and deployment of containerized workflows.

Academic background: Computer Science, Artificial Intelligence, machine learning, NLP, and related technical fields are central. Educational experience is welcome but secondary to strong technical expertise.

Eligibility highlights: PhD required; strong Python and ML framework skills (e.g., PyTorch, HuggingFace Transformers, LangChain); experience with agentic AI, HPC/supercomputing, academic writing, and teamwork in interdisciplinary settings. Familiarity with educational data, multimodal streams, and real-time inference is an advantage.

Funding and conditions: fixed-term appointment for 30 months at 0.8 FTE (32 hours/week), with salary scale 10 (€4,241–€5,538 gross/month), plus year-end bonus, vacation pay, and several employment benefits.

Deadline: 17 August 2026.

How to apply: submit your application through the AcademicTransfer portal. Contact Prof. dr. Bert Sadowski or Prof. dr. Karolina Doulougeri for more information.

Funding details

Fixed-term postdoctoral appointment for 30 months at 0.8 FTE (32 hours/week). Salary is scale 10 of the Dutch Universities CLA, approximately €4,241 to €5,538 gross per month. Additional benefits include an 8.3% year-end bonus, 8% vacation pay, training opportunities, commuting/work-from-home/internet allowances, partially paid parental leave, immigration support, tax compensation (30% facility), and moving expense compensation.

What's required

Applicants must hold a PhD degree in Computer Science, Artificial Intelligence, or a closely related technical field. Strong expertise in LLMs, NLP, and/or machine learning is required, with evidence such as publications, a thesis, or open-source contributions. Required skills include Python, ML frameworks such as PyTorch, HuggingFace Transformers, and LangChain, model fine-tuning, prompt engineering, retrieval-augmented generation (RAG), agentic AI, responsible AI principles, fairness, transparency, data governance, and experience with supercomputing/HPC environments. Strong academic writing and communication skills in English are required, and the ability to work in an interdisciplinary team is important. Experience in educational settings, multimodal data, time-series analysis, real-time inference pipelines, and Challenge-Based Learning is desirable.

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Professors

Prof. dr. at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Educational Technology

Artificial Intelligence

Computer Science

Psychology

Collaborative Learning

Prof. dr. at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Educational Technology

Artificial Intelligence

Natural Language Processing

Psychology

Responsible Ai