Assistant/Associate Professor Position

The assistant/associate professor will carry out research in one of the following areas:

  • Geometry processing, modelling, geometric analysis, or computational geometry
  • Data-based algorithms and analysis of massive data
  • Virtual/augmented reality, 3D display and interaction techniques

The assistant/associate professor will supervise PhD students interns, Bachelor’s and Master’s students, and teach on BSc and MSc level. Finally the appointee will be responsible for management tasks, acquisition of research projects, and valorisation. The assistant/associate professor will become part of the Computer Graphics and Visualization Group, currently comprising 3 full-time faculty members, 2 post-doc, and 11 PhD students. The group takes part in the Delft Data Science Initiative and the INSYGHT Lab, investigating new interaction and visualization metaphors.

The candidate we seek is an internationally well-positioned, excellent researcher. The candidate holds a PhD degree in a relevant discipline (computer science, mathematics, physics, electrical engineering). Besides excellency in research, the candidate should:

  1. be an enthusiastic team player. Experience in initiating and participating in (international) research programmes and in collaborative projects with scientific and industrial partners is a strong advantage;
  2. have a proven record of attracting substantial research funding;
  3. preferably, have experience with different application domains and a keen eye for technical and scientific solutions;
  4. have an excellent command of the English language.

Your application should contain a detailed CV together with a letter of motivation, a list of pulbications, three key publications, details of five references (three of which international), as well as a research and a teaching statement. The deadline will be the 15th of December 2013.

TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home (with a contract of two years or longer), and the option of assembling a customised compensation and benefits package (the ‘IKA’). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency.

For more information about this position, please contact Prof. Elmar Eisemann, phone: +31 (0)15-2782528, e-mail: apply, please e-mail a detailed CV, three publications, three referencies, and a research statement along with a letter of application by December 15, 2013 to Ms. C.J.C. Kohlmann-van Noord,
When applying for this position, please refer to vacancy number EWI2012-37b.

Contract type: tenure track or permanent (depending on the experience of the candidate)

PostDoc – Visual Analysis in Population Imaging Research (VAnPIRe)

The PostDoc position will be part of the Population Imaging Genetics project (stw-imagene) that involves linking observations on the human genome to observations in imaging data. Novel, genome-wide sequencing approaches combined with large-scale population imaging studies open up unprecedented possibilities for discovering the cause of a disease and relating it to its anatomical and functional consequences.
The exact nature of the features (markers) that have the highest correlation with the clinical outcomes under study is by definition hard to predict. Due to the magnitude and heterogeneity of the data, as well as the nonspecific nature of the features that are being sought, this is a complex and laborious process.
We envision a new class of visual analysis techniques that enable the structured and interactive visual exploration of population imaging data. With these techniques, patterns and high-potential hypotheses can be flexibly derived from population imaging data, aiding both the derivation of insight and the search for predictive data features.

The main aim of this project is to develop and evaluate a new, interactive visual analysis approach that enables the extraction of patterns and high-potential hypotheses from the irregular and complex population imaging research data.
New insights into the mechanisms behind the clinical outcome of a population can be extracted by augmenting the human visual system with interactive visualization and coupled feature extraction techniques.

To apply, please, go to the TUDelft vacancy pages: PostDoc



PhDs and Postdocs in the areas of Computer Graphics and Visualization

We are looking for motivated PhDs and Postdocs in the areas of Computer Graphics and Visualization. Precisely, we are interested in candidates from the areas of rendering, alternative representations, and visualization
Please contact Prof. Dr. Elmar Eisemann.