Visual Analytics Professor - Lead Research & Teaching

Delft; Delft; On-site; EUR 55,000 - 100,000; Full time

Job summary

TU Delft seeks an Assistant/Associate Professor in Visual Analytics to shape human understanding of data and teach the next generation of data science and AI experts. The ideal candidate leads an ambitious research program, collaborates across disciplines, and develops innovative projects addressing healthcare, engineering, sustainability and policy.

You will supervise students, contribute to MSc and BSc programs, and build a diverse, international research team within the Faculty of Electrical

Qualifications

• PhD in a relevant discipline.
• Strong research record with vision for future work in visual analytics.
• Enthusiasm for teaching and developing courses in related topics.
• Fluency in English and ability to work in an international environment.
• Ability to develop an independent, internationally visible research programme.
• Experience building collaborations with academia, industry, or public sector.
• Experience obtaining external research funding or strong potential to do so.
• Experience supervising students and researchers, or clear potential to do so.
• For Associate Professor: established independent research profile and leadership experience.

Responsibilities

• Develop and lead an independent research program in visual analytics.
• Contribute to teaching courses in visual analytics and related topics.
• Supervise and mentor BSc, MSc, and PhD students.
• Foster collaborations with academic, industrial, and societal partners.
• Lead and participate in grant applications and project management.

Skills

Research track record

Teaching ability

English communication

Independent research program

Collaborations

Grant acquisition potential

Student supervision

Education

PhD in Computer Science, Mathematics, Physics, Electrical Engineering, Data Science, AI

Job description

TU Delft seeks an Assistant/Associate Professor in Visual Analytics to shape human understanding of data and teach the next generation of data science and AI experts. The ideal candidate leads an ambitious research program, collaborates across disciplines, and develops innovative projects addressing healthcare, engineering, sustainability and policy.

You will supervise students, contribute to MSc and BSc programs, and build a diverse, international research team within the Faculty of Electrical