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Constructor Knowledge Labs
Bremen, Germany3 months ago
1,650 EUR
per month
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B2 - Upper-Intermediate
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Title: Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion) Company: Constructor Labs Location: Constructor Labs / Bremen, Germany
Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology
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.
The PhD program is research-centered, emphasizing original contributions in:
Doctoral students will also have access to specialized courses in:
As part of the program, students will collaborate with Constructor Technology to gain first-hand industrial experience, contributing to real-world testbeds and prototypes.
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.
The appointment provides full financial coverage through a dedicated fellowship, comprising:
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.
Deadline: August 31, 2026
Required documents:
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
