Ph D Position in Computer Science

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](https://sari-saba-sadiya.github.io/) 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: * **Data fusion of heterogeneous temporal streams** * Designing algorithms to unify multimodal signals (physiological, cognitive, contextual, scheduling, and learning data). * Developing pipelines that produce structured insights powering the **Agentic Personalization Engine (APE)**. * **On-device data processing & performance modeling** * Developing models balancing computation, energy, and data flows across wearable, edge, and cloud environments. * Exploring feasibility of running **compact micro-LLMs directly on wearables**. 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** * **Deadline**: August 31, 2026 **Required documents:** * Curriculum Vitae (CV); * Academic transcripts; * Letter of motivation outlining research interests and career goals; * 2 recommendation letters. **Applications to be reviewed on a rolling basis. Shortlisted candidates** will be invited to interviews.