Postdoc Position In Personalized Visual Analytics: Human Preference Elicitation For Ranking Based Multi Criteria Decision Support

Zürich, ZH, CH, Switzerland

Job Description

Department of Informatics


PostDoc Position in Personalized Visual Analytics: Human Preference Elicitation for Ranking-Based Multi-Criteria Decision Support 100 %


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Start of employment 01.12.2025, temporary
We are inviting applications for a Postdoctoral Researcher (m/f/d) position at the intersection of Visual Analytics, Human-AI Collaboration, and Human-Centered AI.

Together, we will design and develop innovative approaches for the characterization, design, and evaluation of interactive visual data analysis solutions that combine the complementary strengths of humans and algorithms. Our goal is to explore new forms of human-AI collaboration that enhance, rather than replace, human involvement in data-driven decision-making.


Your responsibilities


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The position is part of an SNF-funded research project on multi-criteria decision support, focusing on novel methods for human preference elicitation and interactive-visual ranking creation systems.

Project Title: Personalized Visual Analytics Human Preference Elicitation for Ranking-Based Multi-Criteria Decision Support.

Collaboration with: Prof. Mennatallah El-Assady (ETH Zurich)

Your profile


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Ph.D. degree, e.g., in Informatics, ML/AI, Data Science, or HCI Strong publication record and ability to conduct scientific work and dissemination activities in the realm of visual analytics 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 these areas: visual analytics, human-AI collaboration, data science, information retrieval, data mining, machine/deep learning, AI, natural language processing, explainable AI, human-centered AI, responsible AI, algorithmic fairness, biases, transparency, HCI, applied research methods, or types of empirical research Profound skills in programming in Python and supervise programming projects

Information on your application


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Official applications should include:Motivation letter Detailed CV Certificates of degrees and educational background Clear exposition of prior data visualization experience Copy of the Ph.D. Thesis

Start Date: As soon as possible

Application deadline: November 15

Flyer: https://juergen-bernard.de/pdf/postDocFlyer.pdf

Project Website: https://www.ifi.uzh.ch/en/ivda/research/ranking-creation.html

For further information, please feel free to contact Prof. Dr. Jurgen Bernard

What we offer


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Work-Life Balance

Flexible working models (such as part-time positions, mobile working, job-sharing) Childcare at the kihz foundation of UZH and ETH



Learning and Development

Wide range of continuing education courses of UZH and the Canton of Zurich Language Center run jointly with ETH Zurich



Food

Food and drinks at reduced prices in the UZH cafeterias Lunch-Check-card with UZH contribution



Healthcare

Special conditions on the Academic Sports Association ASVZ Free seasonal flu vaccinations Rest and relaxation at the quiet room in the university tower



Discounts

Private traffic: Carsharing, rent a vehicle, parking space Digitalization: Hardware, software, mobile phone subscriptions Special conditions on hotel reservations


Conditions of Employment

Policies of the UZH Most UZH staff are employed according to public law



International Services

Support for people from outside Switzerland



Campuses

Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg



Location


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Department of Informatics



Binzmuhlestrasse 14, 8050 Zurich, Switzerland

Further information


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Questions about the job




Prof. Dr. Jurgen Bernard


Head of IVDA

Working at UZH


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The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!

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Job Detail

  • Job Id
    JD1814227
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Zürich, ZH, CH, Switzerland
  • Education
    Not mentioned