Post-doctoral researcher (2 years) in Computer Science with focus on AI trustworthiness modeling in multimodality

Project description

and working tasks

The first phase of this postdoctoral research will focus on modeling AI trustworthiness and explainability in medical data and models, with particular emphasis on fairness and privacy. The second phase will explore integrating AI governance and policy with the outcomes achieved in the first phase.

Qualifications

To be appointed under the postdoctoral agreement, the postdoctoral fellow is required to have completed a doctoral degree or a foreign degree deemed equivalent to a doctoral degree. This qualification requirements must be fulfilled no later than at the time of the appointment decision.

To be appointed under the postdoctoral agreement, priority should be given to candidates who completed their doctoral degree, according to what is stipulated in the paragraph above, no later than three years prior. If there are special reasons, candidates who completed their doctoral degree prior to that may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant to the subject area.

The successful candidate should hold a doctorate or a foreign qualification equivalent to a doctorate in computer science, mathematics, or engineering physics.

Requirements :

• Comprehensive knowledge and practical skills in the field of data science, especially multimodal data analysis.
• Experience on image processing via machine learning.
• Programming skills (e.g., Python) are required.
• Ability to communicate effectively in both spoken and written English.

Merits :