Constructor University Scholarship in Germany (Fully Funded)

Are you a computer science researcher aiming to pursue advanced doctoral studies in artificial intelligence in Europe? Applications are now open for the Constructor PhD Scholarship 2027 in Germany, a fully funded PhD program in Germany offered by Constructor University in Bremen. In close partnership with Constructor Knowledge Labs (CKL) and Constructor Technology (CT), this doctoral research fellowship in Europe focuses on cutting-edge developments in multimodal data fusion, edge computing, wearable intelligence, biomedical data analytics, and privacy-preserving AI systems — making it one of the most competitive AI PhD scholarships in Germany for 2027 applicants.

Led by Dr. Sari Sadiya’s research group, doctoral candidates will develop real-time, GDPR-compliant personalization frameworks and knowledge-grounded digital avatars for educational and research applications. This fully funded doctoral scholarship in Germany offers hands-on exposure to applied AI research, positioning graduates for careers in both academia and industry. International applicants should also review student visa and health insurance requirements for studying in Germany, as valid coverage is mandatory before enrollment and is often arranged through study abroad insurance plans for PhD students.

Below is a complete breakdown of scholarship allowances, eligible qualifications, research domains, and the step-by-step PhD application procedure in Germany — all candidates must apply before the August 31, 2026 deadline. With generous funding for doctoral researchers and access to world-class AI infrastructure, the Constructor PhD Scholarship remains a top choice among fully funded PhD programs in Europe this cycle.

Program Summary: Constructor PhD Scholarship

Core Research Directions & Curriculum

The doctoral position is centered within the Wearable Intelligence Project, exploring two major interdisciplinary paths:

1. Multimodal Temporal Data Fusion: Unifying complex, heterogeneous data streams—including physiological signals (heart rate, EEG), sleep/activity metrics, scheduling, and cognitive context—into structured knowledge pipelines.
2. On-Device Processing & Edge Performance Modeling: Designing dynamic computation-sharing frameworks across wearables, edge nodes, and micro-LLMs for real-time processing.

Doctoral candidates gain access to industrial testbeds and specialized coursework covering Advanced Machine Learning, Edge Computing, Cognitive Science, and Human-Centered Computing.

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Financial Benefits & Allowance Package

Selected PhD researchers receive full institutional financial coverage comprising:

• Monthly Living Stipend: €1,650 per month.
• Research Cost Allowance: €100 per month (Forschungskostenpauschale) for academic materials and resources.
• Health Insurance Subsidy: €100 per month toward medical coverage.
• Mini-Job Support: Option to earn an additional €603 per month through parallel part-time employment.
• External Grant Support: Institutional backing and references to apply for external research mobility and conference travel grants.

Eligibility Criteria & Qualifications

To be considered for the Constructor PhD position, candidates must satisfy the following academic prerequisites:

Academic Degree: Master of Science (MSc) or equivalent degree in Computer Science, Artificial Intelligence, Data Science, Cognitive Science, or a related computational discipline.

Technical Background: Demonstrated proficiency in Machine Learning, Signal Processing, or Edge Computing.

Hands-on Sensor Experience: Practical experience working with wearable or multimodal time-series data (e.g., EEG, biosensors, heart rate, GPS).

English Proficiency: Strong written and spoken academic English capabilities for publishing papers and reports.

Preferred Skills: Prior exposure to Large Language Models (LLMs), agent-based AI, privacy-preserving ML models, dynamic consent systems, or GDPR frameworks.

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Required Application Documents

Applicants must prepare and submit the following materials in clean PDF format:

Detailed Curriculum Vitae (CV): Highlight academic background, technical skills, and research publications.

Academic Transcripts & Certificates: Official copies of Master’s and Bachelor’s degree records.

Letter of Motivation: A comprehensive statement explaining your research interests, technical fit with wearable AI/edge computing, and long-term career goals.

Recommendation Letters: Two academic or professional references.

How to Apply

Visit the official Constructor Labs Careers Portal or the Constructor University recruitment page.

Locate the listing titled “Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)”.

Complete the online application form and attach your CV, academic transcripts, letter of motivation, and two recommendation letters.

Submit your application before August 31, 2026. Applications are evaluated on a rolling basis.

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