Research associate / PhD candidate (f/m/d)

Karlsruher Institut für Technologie (KIT); Deutschland; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading research center in Germany seeks a motivated researcher to advance secure and explainable computing. The role involves innovative research in areas like embedded systems, security, and machine learning. Join a collaborative team focused on impactful research and practical implementations.

Qualifikationen

• Contribute to research in secure and explainable computing.
• Develop techniques for efficient execution and resource management.

Aufgaben

• Research in embedded systems and resource-aware computing.
• Design methods for data integrity and secure execution.
• Investigate lightweight security mechanisms using blockchain.

Kenntnisse

Machine learning

Security

Explainability

Blockchain

Embedded systems

Jobbeschreibung

Organisation/Company: Karlsruher Institut für Technologie (KIT)

Research Field

All

Researcher Profile

Recognised Researcher (R2), Established Researcher (R3)

Country

Germany

Application Deadline

15 May 2025 - 21:59 (UTC)

Type of Contract

To be defined

Job Status

Other

Offer Starting Date

16 Apr 2025

Funding

Not funded by a EU programme

Research Offer

Area of research:

Scientific / postdoctoral posts

Application deadline: 17.04.2025

Job Description

We seek a highly motivated researcher (f/m/d) to contribute to our ongoing efforts in secure, explainable, and efficient computing through research in one or more of the following areas:

• Embedded systems and resource-aware computing – developing techniques for efficient execution, adaptive resource management, and performance optimization.
• Security and trust in computing systems – designing methods for data integrity, secure execution, and verification in distributed and embedded architectures.
• Blockchain for trusted computing – investigating lightweight, decentralized security mechanisms for data protection, model verification, and tamper resistance.
• Explainability and transparency in computing – developing techniques for interpretable and auditable system behavior in machine learning-driven and automated decision-making systems.
• Machine learning for systems optimization – leveraging ML to enhance energy efficiency, real-time performance, and dynamic workload adaptation.
• Efficient and secure computing in 6G networks – exploring low-latency and secure computing frameworks that integrate blockchain, explainability, and resource-aware AI techniques for future networked systems.

The selected candidate will work in a collaborative and interdisciplinary research environment, contributing to both fundamental research and practical system implementations.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.