Job Information
- Organisation/Company: Constructor University
- Research Field: Computer science
- Researcher Profile: First Stage Researcher (R1)
- Application Deadline: 6 Sep 2026 - 23:00 (UTC)
- Country: Germany
- Type of Contract: To be defined
- Job Status: Full-time
- Hours Per Week: To be defined
- Is the job funded through the EU Research Framework Programme?: Not funded by a EU programme
Offer Description
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.
Work Location(s)
Number of offers available: 1
Company/Institute: Constructor University
Country: Germany
Contact
Website: https://arsu-lab.github.io/
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