Listed via Arbeitnow
Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)
Constructor LabsBremen
Listed via Arbeitnow
Applying starts with a free account, then brings you straight back to this role. I already have one · Continue without an account
Posted November 3, 2026 · listing closes December 3
Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology
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:
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.
Find Jobs in Germany on Arbeitnow
Free to start
Going for Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)?
Write a resume aimed at the posting, publish it at your own link, and see who opens it. No card needed.
Build my resumeP-983 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world'
At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-gen
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-gr
About Focused Energy Focused Energy is building the future of clean energy through laser-driven inertial fusion. Backed by our $240M Series A — the largest fully secured Series A in the global fusion industry — we are scaling rapidly across multiple geographi