Robots and humans will increasingly intermingle in open and complex domains, such as traffic, domestic, agricultural, rehabilitation and care environments. We need to engineer robots that can be intuitively understood, corrected, and taught by humans, and vice versa: that can teach, correct and understand human behavior.
We are specifically looking for a candidate that studies models and methodologies to transfer physical skills and knowledge between humans and robots. The scientific questions concern how to quantify human behaviour, what methodologies and algorithms can maximize transfer of learning, how to stimulate user engagement with robot technologies etc. We expect you to:
• Develop, conduct and supervise high-quality academic research
• Inspire students through teaching and supervision
• Collaborate with specialists in academia and industry in multidisciplinary projects
• Transfer theory to innovative technology
• Secure external funding for research projects
• Be an inspiring contribution to our staff.

Candidates are expected to be, or be on their way to becoming, authorities in their field of research, and to complement and enrich the existing research programs in the department. We prefer candidates that strenghten the diversity of our department. Applicants should have the following qualifications:
• PhD degree in computer science or engineering, aerospace or mechanical engineering, artificial intelligence, robotics, or a related field, with a specialization in human-machine interaction.
• Embracement of open science principles and modern communication tools.
• Strong analytical skills and ability/interest to work at the intersection of several research domains.
• Experience in human-subject research.
• Sufficient years of exemplary research experience after the PhD to qualify for an associate professor position at TU Delft, including experience outside the Netherlands.
• Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals, academic awards, and proven ability to raise funds.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency.
Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

TU Delft creates equal opportunities and encourages women to apply.

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and societal benefits. You will be part of the Human-Robot Interaction group within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity, and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control, and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. Strong collaborations exist with the cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute, our national robotic ecosystem (RoboValley, Holland Robotics), and international industry and academia.