Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)

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

Wir zeigen einen Auszug und einen Link je Anzeige, und den vollen Text, wenn die Quelle es erlaubt. Genannte Marken und Logos gehören ihren Inhabern.

Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung

Veröffentlicht am 01. Nov. 2026

Veröffentlicht am 01. Nov. 2026