Publisher
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Bert Sadowski

3 months ago

Postdoc in AI-Driven Adaptive Learning Systems (CLARA project) at Eindhoven University of Technology 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 according to Dutch university scale 10, approximately €4,241 to €5,538 gross per month, plus an 8.3% year-end bonus and 8% vacation pay. Additional benefits include training, mentoring, commuting/work-from-home/internet allowances, 30% tax facility for eligible international staff, 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
Natural Language Processing
Educational Technology
Collaborative Learning
Responsible Ai
Large Language Models

About this position

Eindhoven University of Technology (TU/e) is recruiting a Postdoctoral Researcher for the CLARA project (Collaborative Learning Agent for Regulation with AI), an NRO-funded interdisciplinary initiative on AI agents, large language models, natural language processing, machine learning, and educational technology.

The postdoc will be part of the technical core of the project and work closely with a PhD researcher and an interdisciplinary supervisory team. The research focuses on designing, training, fine-tuning, and evaluating an LLM-based social AI agent that can detect socio-cognitive and socio-emotional triggers in collaborative learning and provide timely, context-aware scaffolding in Challenge-Based Learning environments.

Key tasks include trigger detection from text, audio, and multimodal interaction data; model training and fine-tuning on educational datasets; development of adaptive scaffolding strategies; classroom implementation and evaluation; responsible AI and fairness auditing; and dissemination through publications and conferences.

Eligibility highlights: a PhD in Computer Science, Artificial Intelligence, or a closely related technical field; strong technical expertise in LLMs/NLP/ML; Python and ML frameworks such as PyTorch, HuggingFace Transformers, or LangChain; experience with prompt engineering, RAG, agentic AI, responsible AI, and HPC environments; strong English academic communication skills; and the ability to work in an interdisciplinary team. Experience in educational settings, multimodal data, and real-time inference is desirable.

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 per month), plus year-end bonus, vacation pay, and additional employment benefits.

Application deadline: 17 August 2026.

How to apply: review the vacancy details and apply via the linked application page. For questions, contact Prof. dr. Bert Sadowski or Prof. dr. Karolina Doulougeri by email.

Funding details

Fixed-term postdoctoral appointment for 30 months at 0.8 FTE (32 hours/week). Salary is according to Dutch university scale 10, approximately €4,241 to €5,538 gross per month, plus an 8.3% year-end bonus and 8% vacation pay. Additional benefits include training, mentoring, commuting/work-from-home/internet allowances, 30% tax facility for eligible international staff, and moving expense compensation.

What's required

Applicants must hold a PhD in Computer Science, Artificial Intelligence, or a closely related technical field. Strong expertise in large language models, 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, or LangChain, model fine-tuning, prompt engineering, retrieval-augmented generation, 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, along with the ability to work in an interdisciplinary team. 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