Applications are invited for a PhD fellowship/scholarship at Graduate School of Natural Sciences, Aarhus University, Denmark, within the Computer Science programme. The position is available from February 2025 or later.
Title:
Ensemble Visualization for Progressive Analytics
Research area and project description:
Progressive Analytics is a stepwise data analysis paradigm that yields in-progress results which refine over time. It is still a rather young research direction that promises to deliver swift visual feedback even for long-running analyses on large datasets – like Machine Learning, Artificial Intelligence, Simulation Models, Data Mining, or any mix thereof. How to interact with such ongoing computations to gauge their outputs and to steer their stream of generated analysis results towards data subspaces of interest remains an open research question.
The idea behind this PhD project is to explore Ensemble Visualizations to answer that research question. Ensemble Visualizations do not just show one analysis result, but multiple, so as to provide an overview of the diversity of possible results in the spirit of What-If analyses or Multiverse analyses. To that end, this PhD project will look into how to generate, visualize, interactively manage, and gain insight from dozens, potentially hundreds of progressively refining parallel streams of analysis results.
This groundbreaking new approach will open-up Progressive Analytics to completely new software architectures for realizing such analyses on one side, and to completely new application scenarios making use of these analyses on the other side. Research on this project is carried out at the intersection of Data Visualization, Human-Computer Interaction, and Concurrent Programming. It will be carried out in close collaboration with colleagues from the University of Pittsburg (concurrent software architectures) and from Aarhus University’s Department of Engineering (artifact detection in timeseries data).
This PhD project is fully funded as part “ArtiPlex”, a project granted by the Independent Research Fund Denmark (Danmarks Frie Forskningsfond).
Please upload a project description (½-4 pages). This document should describe your ideas and research plans for this specific project. If you wish to, you can indicate an URL where further information can be found.
Qualifications and specific competences:
To apply for the position, you must have a relevant Master’s degree (or equivalent) and excellent computer programming skills. Prior experience in at least one of the following areas is of advantage: data visualization, data science, computer graphics, human-computer interaction, or concurrent programming.
You are expected to bring or develop the necessary soft skills for working in teams, as well as for managing and communicating your research progress. The same holds for the necessary hard skills in software development and scientific writing.
Place of employment and place of work:
The place of employment is Aarhus University, and the place of work is Department of Computer Science, Åbogade 34, 8200 Aarhus N, Denmark.
Contacts:
Applicants seeking further information for this project are invited to contact: Associate Professor Hans-Jörg Schulz, hjschulz@cs.au.dk or Associate Professor Kaare Mikkelsen mikkelsen.kaare@ece.au.dk
How to apply:
For information about application requirements and mandatory attachments, please see the Application guide. Please read the Application guide thoroughly before applying.
When ready to apply, go to https://phd.nat.au.dk/for-applicants/apply-here/ (Note, the online application system opens 1 September 2024)
Please note:
At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and career clarification and want to make your opportunities transparent. On our website, you can find information on all types of scientific positions, as well as the entry criteria we use when assessing candidates. You can also read more about how we can assist you in your career planning and development.
Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. All interested candidates are encouraged to apply, regardless of their personal background.
