positions

Task: Secure explainable Embedded AI (WP3)

Host institution: TU Delft

Country: Netherlands

Supervisor: Prof. A. Asadi [TU Delft]

Co-supervisors: Prof. X. Chen [UREAD]; Dr. P. Sommer [ABB]

Objectives: 1) To understand and analyse the security vulnerabilities of XAI tools; 2) to leverage XAI to identify the security issues of multimodal embedded learning methods; 3) to evaluate the proposed solutions.

Expected Results: 1) Analysis of security issues of XAI methods; 2) XAI methods for identifying security issues in multi-modal explanation; 3) Proof-of-concept demonstration of XAI-enabled security enhancement for autonomous robotics.

PhD enrolment: Doctoral School of TU Delft

Planned secondments: 

• ABB (4 months, M16-M19): XAI methods to identify security issues in multi-modal embedded AI for autonomous robotics, with Dr. P. Sommer (KPI: joint paper)

• UREAD (3 months, M28-M30): XAI methods to tackle security and privacy challenges in multi-modal embedded AI, with Prof. X. Chen (KPI: joint paper)

Candidate profile: telecommunication engineering, applied mathematics, electrical engineering, computer science (in order of preference)

Desirable skills/interests: signal processing, statistical filtering, machine learning, applied optimization (the applicant should be proficient in at least one or two of the skills)

Application Deadline: February 14, 2025, AoE

Descriptions of all the 18 DC Positions

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