Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology invite applications from interested candidates for the following position
PhD Position (m/f/d) in Computer Science (Wearable Intelligence & Data Fusion)
About the Position
The research group of Dr. Sari Sadiya at Constructor Knowledge Labs (CKL) , in collaboration with Constructor University (CU) and Constructor Technology (CT) , invites applicants for Ph.D. student positions in Computer Science with a focus on wearable intelligence, multimodal data fusion, and edge AI .
The project investigates how wearable data streams can be transformed into structured knowledge and integrated into a knowledge-grounded digital avatar that supports bi-directional collaboration in education and research.
Ph.D. students will work in a highly interdisciplinary environment, combining AI/ML, edge computing, cognitive science, and human–computer interaction . In close collaboration with academia and industry, they will contribute to building privacy-preserving, real-time personalization frameworks while pursuing their doctoral dissertation.
About the Program
The PhD program is research-centered, emphasizing original contributions in:
Wearable data analytics and fusion methods
Biomedical data analytics
On-device processing and performance modeling
Personalization and adaptive reasoning systems
AI for Education
Doctoral students will also have access to specialized courses in:
Artificial Intelligence, Machine Learning, and Edge Computing
Advanced Computational Methods and Data Science
Cognitive Science and Human-Centered Computing
As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes.
Research Focus
This PhD position is part of the Wearable Intelligence Project , with two main research directions:
The overarching goal is to create scalable, ethical, and transparent personalization systems that support education and research.
Funding
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Monthly stipend of €1,650
Monthly research-cost allowance of €100 (Forschungskostenpauschale)
Health-insurance subsidy of €100 per month
Supplementary €603 mini-job allowance to support parallel part-time employment (optional)
Constructor Knowledge Labs actively supports candidates in preparing applications for external funding — doctoral scholarships, foundations, or international mobility grants — and can provide institutional support and references
Applicant Profile
Mandatory requirements:
MSc degree (or equivalent) in Computer Science, AI/ML, Data Science, Cognitive Science, or related disciplines.
Strong background in AI/ML, signal processing, or edge computing.
Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS) .
Solid mathematical and computational modeling skills.
Proficiency in academic English writing (e.g., reports, papers, theses).
Preferred qualifications:
Experience with LLMs, multimodal data fusion, or agent-based AI systems .
Familiarity with privacy-preserving ML, dynamic consent, and GDPR-compliant frameworks .
Demonstrated ability to conduct independent research and collaborate across disciplines.
Interest in teaching, mentoring, and applied industrial research.
Application Details
Required documents:
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
