Postdoc Human-Centered, Interactive, and Visual Data Analysis and Artificial Intelligence

The Interactive Visual Data Analysis (IVDA) Group at the University of Zurich is seeking a talented Post-Doc (m/f/d) at the intersection of visual analytics, interactive machine learning, and human-centered AI.
The UZH is a top internationally recognized research university with faculties in medicine, humanities, economics, mathematical, and natural sciences. UZH is the largest university in Switzerland and is regularly ranked among the top world-leading research universities.
The Department of Computer Science (Institut für Informatik – IFI) covers major computer science, software engineering, and information management research and teaching topics, it offers BSc, MSc as well as PhD degrees and PostDoc positions in informatics/computer science.
The IVDA Group and the IFI are located in the vibrant city of Zurich as part of the University's new Nord-Campus in Oerlikon in a renovated modern office building. The UZH Nord Campus is conveniently located near the Oerlikon train, S-Bahn, and tram stations. Also, the Zurich International Airport (ZRH) is reachable within minutes with public or private transportation.

Postdoc Human-Centered, Interactive, and Visual Data Analysis and Artificial Intelligence

Together, we will develop novel approaches for the characterization, design, and evaluation of interactive visual data analysis solutions that combine the strengths of both humans and algorithms. This position is particularly suitable for candidates with interests/experience in interdisciplinary, collaborative, and applied work, e.g., in medicine, digital and personal health, digital humanities, digital libraries, or sustainability domains.
We are pursuing a human-centered approach to data science, machine learning, and AI, to foster human involvement rather than replace it in the data analysis process. In the context of digitalization, data-driven research and decision-making, human-machine collaboration, and human-centered AI, we will study human workflows, identify and preserve steps with high human intellectuality, and establish practices of both high human control and automation. Together, we will address data-oriented challenges such as multivariate, multimodal, heterogeneous, dirty, uncertain, or unlabeled data. Important model-oriented challenges include data preprocessing, model building, model quality assessment, and model explanation. User-oriented challenges include varying degrees of user expertise, personalization intents, human factors, and understanding and supporting user preferences for data and tasks to contribute to an enhanced user experience.
Your responsibilities in this research-oriented position include teaching and student supervision, administrative tasks, and project-oriented work. The main goal though is to conduct excellent research, generating results which are published and presented in top international journals and conferences.

• Ph.D. degree, e.g., in informatics, AI, Data Science, HCI, or an application domain
• Strong publication record and ability to conduct scientific work and dissemination activities
• Excellent communication and collaboration skills, and ability to work in interdisciplinary teams
• Ability to independently teach university-level courses and supervise students
• Extensive expertise in some of the areas: data science, information retrieval, data mining, machine/deep learning, AI, natural language processing, explainable AI, algorithmic fairness, biases, transparency, human-computer interaction, applied research methods, or types of empirical research

• Possibility to combine basic research and applied research
• Possibility to work on interdisciplinary and highly collaborative projects
• Hands-on supervision and support in conducting excellent research and publishing results in top international journals and conferences
• Creative working atmosphere in a motivated, cooperative, and technically very well-equipped environment
• Excellent professional and personal development possibilities and hence, an excellent basis for a future career in interactive visual data analysis, in academia or an industrial context
• Specific benefits like flexible working hours, young scientist promotion opportunities, parental leave benefits, nursery services, care for dependents, and much more
• Very good salary, according to local university regulations and standards in Switzerland

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