School:

School of Engineering

Starting date:

1st of August 2024 or by mutual agreement
Limited to 1 year, the position can be extended for up to three years

Your role

• As part of our research team, you will develop and implement algorithms that enable AI-based systems to understand and predict human intentions.
• You will work in a Horizon Europe project in collaboration with a multidisciplinary team to design and refine AI-based support systems for air traffic control.
• You will closely collaborate with our industry and project partners to implement your algorithms in the operational environment.
• You will have a chance to work on projects in diverse application fields with various industry partners.
• You will conduct research and optimise the human-machine interface and interaction, ensuring that systems are intuitive and augment human capabilities.
• You will participate in the testing and validation of developed applications in the field and in experiments to ensure reliability and efficiency in real-world scenarios.
• You will document development processes and results and contribute to scientific presentations, papers and reports.
• You will have the opportunity to co-supervise student projects.
• Your daily work will typically allow for a high level of flexibility and freedom.

Your profile

• You have a master's degree in computer science, engineering, data analysis or a related field.
• Alternatively, you have a bachelor's degree in one of the above with practical experience in applied data science projects.
• Strong programming skills and experience with machine learning and AI technologies (preferably in python).
• You have experience with applying data analytical and machine learning methods.
• You can work creatively and analytically in a problem-solving environment.
• You have high oral and written communication skills in English and preferably also in German.
• You are a team player with the ability to work independently.
• You are interested in human-machine interaction preferably in aviation.
• You are interested in human factors and biometrical data.

This is what we stand for

Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff. ZHAW is committed to gender-mixed and diverse teams to promote equality, diversity and innovation. To increase the proportion of women in management positions, applications from women are particularly welcome.

The Centre of Aviation (ZAV) is a center of competence for the development and application of cutting-edge technologies, state-of-the-art methods, and contemporary knowledge to find new and efficient ways to bring global aviation a step further. The Centre for Aviation is the leading scientific research facility for aviation in Switzerland. We believe that sustainable solutions for the aviation industry rely on successful collaborations in interdisciplinary teams.

The Human Factors team is concerned with the study of human performance in various branches of aviation and other industries. The goal is to develop training tools and methods to empower human performance, support development of expertise and relieve people's workload in their job. Data-driven understanding of human performance is used to enhance true human-automation teaming. In our team you will enjoy an exciting and rewarding working environment, combining close industrial collaboration with multidisciplinary innovative research. The position is limited to three years but may be extended.

What you can expect

We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW . The main points are listed below:

Contact

Dr. phil. hum. Ruth Häusler Hermann
Team Leader of Human Factors Research Group, Senior Lecturer

+41 (0) 58 934 67 75

Yeliz Sevinc
Recruiting Manager