Cognitive AI Research Fellow
3 days ago
About Us
Fabrikod is a technology company focused on building advanced, human-aware AI systems. Our mission is to develop intelligent assistants that can understand, learn, and adapt to the individual behind every interaction, combining the power of artificial intelligence with insights from cognitive and behavioral science.
The Project
We are developing a next-generation AI assistant that can recognize and respond to users' cognitive and behavioral patterns to provide truly personalized guidance. This project sits at the intersection of
AI, cognitive science, and computational psychology
, and carries a clear research ambition, our long-term goal includes producing publishable scientific outcomes.
The Role
We are looking for a
Cognitive AI Research Fellow
to join our interdisciplinary research team. This is a hands-on role for someone who wants to bridge scientific inquiry and real-world AI product development. You will:
- Design and run experiments in user modeling, personality inference, or adaptive dialogue systems.
- Develop and evaluate cognitive-inspired AI models (language, emotion, decision, or interaction modeling).
- Work with large-scale conversational and behavioral datasets.
- Collaborate with AI engineers to bring research ideas into production.
- Contribute to internal reports and, potentially, academic publications.
What We Offer
- Opportunity to work on a
live, cutting-edge AI product
with real users. - Mentorship from both academic and industry experts.
- Strong scientific environment with potential for
co-authorship
in publications. - Flexible remote working model and long-term collaboration.
- Competitive fellowship stipend.
Qualifications
- MSc or PhD (ongoing or completed) in
Artificial Intelligence, Cognitive Science, Computer Science, Psychology
, or related fields. - Solid background in
deep learning, NLP, or computational modeling
. - Familiarity with PyTorch/TensorFlow and modern transformer-based architectures.
- Strong interest in
human-AI interaction, personalization, or behavioral modeling
. - Excellent analytical and scientific writing skills.
Preferred Skills
- Experience with conversational AI, affective computing, or user modeling.
- Knowledge of reinforcement learning, few-shot learning, or LLM fine-tuning.
- Passion for connecting human cognition and artificial intelligence.
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