Human-Centered Interactive Data Analysis and AI in Digital Libraries and Digital Humanities 30-100%
Universität Zürich
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Human-Centered Interactive Data Analysis and AI in Digital Libraries and Digital Humanities 30 - 100 %
Start of employment 01.10.2024, temporary
The Interactive Visual Data Analysis (IVDA) Group at the University of Zurich is seeking a talented Research Assistant
(m/f/d) at the intersection of visual analytics, interactive machine learning, and human-centered AI.
Your responsibilities
The position is aligned with the application-oriented focus of the IVDA group towards research into Digital Libraries
and Digital Humanities. 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 in
the 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 in
the data analysis process rather than replacing them. In the context of the 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 focus on the design and implementation of visual analytics solutions in an interdisciplinary
research environment. You will work together with members of the IVDA group and collaborate with external domain
experts. Your work directly contributes to conduct excellent research, generating results which are published and
presented in top international journals and conferences.
Your profile
- Expertise in the fields of Digital Libraries and/or Digital Humanities
- M.Sc. degree, e.g., in informatics, AI, Data Science, HCI, or an application domain.
- Experience in conducting scientific work and dissemination activities.
- High proficiency in either frontend or backend programming; preferably both
- Excellent communication and collaboration skills, and ability to work in interdisciplinary teams.
- 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.
Information on your application
Please submit your application as one PDF file.
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Department of Informatics
Binzmühlestrasse 14, 8050 Zürich, Switzerland
Further information
Questions about the job
Prof. Dr. Jürgen Bernard Contact Form
Contact question to: Prof. Dr. Jürgen Bernard
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
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!
More → https://www.uzh.ch/cmsssl/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
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! More
Human-Centered Interactive Data Analysis and AI in Digital Libraries and Digital Humanities 30 - 100 %
Start of employment 01.10.2024, temporary
The Interactive Visual Data Analysis (IVDA) Group at the University of Zurich is seeking a talented Research Assistant
(m/f/d) at the intersection of visual analytics, interactive machine learning, and human-centered AI.
Your responsibilities
The position is aligned with the application-oriented focus of the IVDA group towards research into Digital Libraries
and Digital Humanities. 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 in
the 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 in
the data analysis process rather than replacing them. In the context of the 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 focus on the design and implementation of visual analytics solutions in an interdisciplinary
research environment. You will work together with members of the IVDA group and collaborate with external domain
experts. Your work directly contributes to conduct excellent research, generating results which are published and
presented in top international journals and conferences.
Your profile
- Expertise in the fields of Digital Libraries and/or Digital Humanities
- M.Sc. degree, e.g., in informatics, AI, Data Science, HCI, or an application domain.
- Experience in conducting scientific work and dissemination activities.
- High proficiency in either frontend or backend programming; preferably both
- Excellent communication and collaboration skills, and ability to work in interdisciplinary teams.
- 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.
Information on your application
Please submit your application as one PDF file.
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Department of Informatics
Binzmühlestrasse 14, 8050 Zürich, Switzerland
Further information
Questions about the job
Prof. Dr. Jürgen Bernard Contact Form
Contact question to: Prof. Dr. Jürgen Bernard
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
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!
More → https://www.uzh.ch/cmsssl/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
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! More