Job Postings

Description: The Visual Computing Group at the Friedrich-Alexander University (FAU) of Erlangen-Nuremberg, Germany, is looking for a motivated PhD candidate to research in the field of scalable feature extraction. In this project, we research novel feature extraction algorithms to address the scalability challenges in several application areas, including climate science, geophysics and fluid dynamics.

Requirements: We are seeking motivated, creative candidates, who are capable of working in a multidisciplinary team, and who have an above average primary university qualification (master degree or diploma) in computer science or a related field (e.g., information technology, mathematics, computational engineering, etc.). Knowledge in computer graphics or visualization is desirable. A good command of the English language is prerequisite.

Work Environment: The Visual Computing Group at FAU offers an excellent environment for high-class research. Among the core values of our interdisciplinary team and in our state-of-the-art labs are scientific excellence, good team work and knowledge sharing. The Visual Computing Group is part of the Faculty of Engineering which awards the academic degree Doctor of Engineering (Dr.-Ing.).

Position and Application: The project start date is August 1 or later. This is a temporary position that is at least available for 3 years. Remuneration is based on the collective agreement for civil servants in Germany (TV-L E13, fulltime position). The appointee may pursue doctoral studies in the Faculty of Engineering. Applications from severely disabled persons, in the case of equal suitability, will be treated preferentially. Qualified female candidates are especially encouraged to apply as there is a policy in place at the University to increase the proportion of female staff. Please submit your application (motivation letter, tabular CV, certificates) as one document to Tobias Günther (tobias.guenther@fau.de).

Description: This open position is for a research assistantship in a PhD program in computer science in the Visualization and MultiMedia Lab of the Department of Informatics at the University of Zürich. We are looking for a highly motivated PhD student with an interest in interactive data visualization and analysis of large audio-visual movie archives. The project is targeted at the interactive analysis and visualization of large movie collection datasets, covering aspects such as the analysis of spatial, temporal, visual, emotional and aesthetic features in image and video composition.

Requirements: A MSc degree in computer science or closely related area from a top research university is required to enter our PhD program. A prior focus on or experience with interactive data visualization or computer graphics, as well as good math skills and excellent programming skills are also required.

Benefits: PhD students are remunerated according to university regulations and standards from the funding agencies (SNF). Further benefits include flexible working hours, young scientist promotion opportunities, parental leave benefits, nursery services and care for dependents and much more.

Contact: For further details please the VMML open position page, download the detailed description or contact Renato Pajarola (pajarola@ifi.uzh.ch).

Description: We are looking for motivated research assistants (m/f/d) in the areas of visual analytics, interactive data science, and interactive machine learning for PhD projects in the Interactive Visual Data Analysis Group at the University of Zurich (UZH). Together, we will develop new approaches for the characterization, design, and evaluation of interactive visual interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications. The positions are available with the possibility to develop a PhD thesis in Computer Science at UZH.

Two Positions: Links to the specifics of the open PhD positions:

• Human-Centered Interactive Visual Data Analysis (https://www.ifi.uzh.ch/en/ivda/phdPositions/IVDA.html)
• Visual-Interactive Data Labeling (https://www.ifi.uzh.ch/en/ivda/phdPositions/VIAL.html)

Research Context: In each PhD project, the primary research focus will be at the intersection between Information Visualization, Visual Analytics, Human-Computer Interaction, and Machine Learning. Each PhD project will follow a human-centered approach to data science, in order to foster the involvement of humans in the data analysis process with interactive visual interfaces. The research will be on the combination of the strength of humans and machines in an iterative and incremental data analysis process in order to tackle remaining data science challenges.

Examples of data-oriented challenges are heterogeneous data, dirty data, uncertain data, or unlabeled data. Important model-oriented challenges include data preprocessing, model building, model quality assessment, or model explanation. Particularly interesting user-oriented challenges are different degrees of user expertise, users’ personalization intents, and understanding and supporting user preferences with respect to data and tasks.

The contributions of the PhD projects will include human-centered data science solutions tailored to the information need of individual users. These new approaches will also make machine learning applicable to larger user groups in the context of data science and digitalization initiatives. For more information about Prof. Bernard’s recent research context, see juergen-bernard.de

Details: More details can be found here: https://www.ifi.uzh.ch/en/ivda/phdPositions.html

Description: Visualization and Visual Analytics play an important role in life-science research. There is an urgent need for fast and scalable methods as well as solid visualization- and interaction-design to capitalize on the discovery potential of related data. A lot of biological data is heterogeneous, multi-modal, and/or high-dimensional. In previous successful collaborations with life-science researchers, we have built successful visual analytics platforms such as Cytosplore and co-published in high-impact venues such as Nature or Nature Communications. This position aims to build on these works to build visual analytics methods and workflows with a specific focus on integrating data from different brain-omics-sources, such as single-cell omics data, spatial omics data, etc. Within the context of the project the position is still very open and themes can be comparative visualization, for example with the goal to compare data from different species, patient cohorts, or disease stages. multi-modal integration and visualization for example to visualize multi-comics data such as single-cell RNA-sequencing and GWAS spatio-temporal visualization with the goal to visualize longitudinal studies of patients multi-scale visualization from gene-to-micro/meso/macro-scale and back.

The position is part of an NWO Gravitation program – Brainscapes – and will be carried out in close collaboration between the Computer Graphics and Visualization (CGV) group at TU Delft, the Leiden Center for Computational Biology at Leiden University Medical Center (LUMC) and domain researchers from VU Amsterdam and Utrecht University.

Requirements: We are looking for a candidate who meets the following requirements:

• You have experience with or a strong background in visual analytics or visualization, and/or computer graphics. Preferably you finished a master’s in computer science, (Applied) Mathematics, (Applied) Physics or Electrical Engineering.
• You have excellent programming skills and experience in high-performance computation using (parallel) C++, OpenGL, CUDA, or similar.
• You have good communication skills, and the ability to participate successfully in the work of a multidisciplinary research team.
• You are creative, ambitious, hardworking, and persistent.
• You have a good command of the English language (knowledge of Dutch is not required).

Embedding: Employment will be at LUMC as part of the Computational Biology Center and is part of a close collaboration with Delft University of Technology: the applicant will receive a joint appointment at the Computer Graphics and Visualization at TU Delft. The main place of work will be in Delft. This group has a strong research record and is known for its expertise in visual analytics, visualization in general, modelling, game technology, and rendering. Besides these major topics, interaction techniques, virtual/augmented reality, vision, perception, computational photography, and simulations play an important role. Contact. For more information please contact Thomas Höllt (t.hollt-1@tudelft.nl )

Description: The University of Cologne is one of the largest and most research-intensive universities in Germany, offering a wide range of subjects. With its six faculties and its interfaculty centres, it offers a broad spectrum of scientific disciplines and internationally outstanding profile areas, supported by the administration with its services.
The group conducts research and teaching in the area of visualization and visual analytics. It covers research of novel visualization techniques, interactive combination of machine learning and visualization as well as research of cognitive factors in visualization. The position is in one of the areas: visual analytics of networks, visual analytics of spatio-temporal data or cognitive aspects.

We Offer You:

• lively high quality research environment and engaging tasks
• a diverse and fair working environment
• support in reconciling work and family life
• flexible working time models
• extensive advanced training opportunities
• occupational health management offers
• local transport ticket at a discount for university employees

The position is available from 01.09.2021 or later on a full-time basis. It is limited to a term of 3 years. If the applicant meets the relevant wage requirements and personal qualifications, the salary is based on remuneration group 13 TV-L of the pay scale for the German public sector.

Please apply online at: https://jobportal.uni-koeln.de with proof of the sought qualifications. The reference number is Wiss2105-09. The application deadline is 30.06.2021. If you have any questions, please contact Frau Prof. Tatiana Landesberger von Antburg at visva.kontakt@cs.uni-koeln.de.

Your Tasks:

• research: depending on focus either development of novel visualization and visual analytics techniques or preparing and conducting user studies
• publication of results at international conferences and in journals
• teaching assistance (4 teaching units) – concept and conduct of excercises, support in seminars and master/bachelor thesis supervision
• support in organization and publicity of the group
• initiation of cooperation and projects with partners

Your Profile:

• Master degree in computer science, visual computing, HCI, mathematics, physics, or similar
• interest in research career
• interest in visualization and visual analytics
• very good programming skills (javascript, python, C++, or similar)
• experience in visualization, visual analytics, HCI or data analysis and machine learning
• experience in teaching assistance is of advantage
• experience with research and publication is of advantage
• very good English and German language skills
• social and communication competence

Description: We are seeking for an engaged and bright PhD student to work with us in the areas of Information Visualization and Visual Analytics. The main focus of the position is:
Visual analysis of large and complex, multivariate networks and/or text data Research in this project will involve foundational visualization principles, techniques and visual analytics tools for analyzing heterogeneous network/text data coming from various data sources. The work will even include the development and provisioning of a suitable backend infrastructure to serve the web-based, interactive visual display with the needed original and derived data streams, and/or user data collected during the analytical process. Main supervisor will be Prof Andreas Kerren.

Note that a PhD position in Sweden is a salaried employment with the right to social benefits. As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time. The PhD thesis must be completed and defended within the official appointment up to a maximum of five years (i.e., 4 years doctoral studies and 1 year departmental tasks, full-time equivalent).

The position will be placed in the iVis research group led by Prof Andreas Kerren, Linköping University, Norrköping Campus, which is part of the division for Media and Information Technology. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in the life sciences, humanities, or environmental sciences. Our research vision is to attack the big data challenge through the combination of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies.

The position will be officially advertised soon. If you are interested, please contact Andreas Kerren (andreas.kerren@liu.se).

Description: The Visual Data Analysis group at Zuse Institute Berlin (ZIB), Germany, is looking for a PhD candidate for a DFG-funded interdisciplinary project with Egyptologists from the Papyrus collection of the Egyptian Museum in Berlin. Goal of this project is the development of visual data analysis tools for the virtual unfolding of ancient papyrus packages to make the documents readable without physically unfolding them. Please also see the last talk in FP 4 (https://www.eurovis.org/index.php/for-attendees/program/#fp-4).

Requirements: The project lies at the intersection of several research areas. It will involve image analysis as well as computer graphics and geometry processing. We are therefore looking for a PhD student with a Master’s or Diploma degree in Computer Science or a related field (e.g., information technology, mathematics, computational engineering, etc.) with a specialization in one of the three areas and a strong interest in the other two. An interest in interdisciplinary work and a good command of English is also required.

Work Environment: The Visual Data Analysis group at ZIB offers an excellent research environment. Core values of our interdisciplinary team are good team spirit and knowledge sharing. The Zuse Institute Berlin has strong connections to all three universities in Berlin. Due to the proximity to the Freie Universität (FU) Berlin, PhD students usually enroll at the FU in the Department of Computer Science and Mathematics, which awards the Dr. rer. nat. degree.

Position and Application: The project start date is September 1, 2021 at the earliest, with a start date of January 1, 2022 at the latest. The position is limited for at least 3 years with the possibility of extension. Remuneration is based on the collective agreement for the public service in Germany (TV-L E13, full-time position). The position holder is eligible for a PhD at the Faculty of Mathematics and Computer Science at FU Berlin. Applications from severely disabled persons will be given preferential consideration in the case of equal suitability. Qualified female applicants are especially encouraged to apply, as ZIB has a policy to increase the proportion of women. If you are interested in the advertised position, please contact Daniel Baum (baum@zib.de).