Postdoc in High-Performance Visualization and Data Analysis

Published by Max Höfferer
Date: 2020-01-26

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

This position is within the SSF Big Data project ”In-Situ Big Data Analysis for Flow and Climate Simulations.” The goal is to develop e-Science tools to analyze very large numerical simulations.

This position concerns the development of novel Big Data visualization and analysis methods to be applied to data from large numerical simulations. Such simulations suffer from the sheer size of the data to an extent where even saving the data in a reasonable resolution is unfeasible. A core component of this position is the development and implementation of novel analysis methods based on combinatorial topology, specifically Discrete Morse theory, merge trees, persistent homology and related concepts. The data sets come from state-of-the-art research labs in fluid dynamics and climate research. An active collaboration with these partners is required.

What we offer

  • International workplace.
  • A leading technical university that creates knowledge and expertise for a sustainable future.
  • Here you get colleagues with high ambitions in an open, curious and dynamic environment.
  • Access to latest hardware and modern software Environments.

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.

In addition to the traditional academic merits, published papers, experience with visualization libraries,C++, and graphics APIs are regarded as advantageous qualifications.

Great emphasis will be placed on personal competence and suitability.

Preferred qualifications

  • Scientific skills.
  • Educational ability.
  • Awareness of diversity and equal treatment issues with a particular focus on gender equality
  • Cooperative skills.
  • Independence.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

Fixed term employment for two years.

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:305065/where:4/