PhD Position High-Performance Visualization and Analysis of Genome Data

PhD Position High-Performance Visualization and Analysis of Genome Data

Published Deadline Location
15 Mar 19 Apr Delft

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Job description

Genomic and genetic understanding might be a key component in creating more resistant plants via breeding strategies that can address major hurdles in the food supply around the globe. Nevertheless, the ever-increasing amounts of genomic data that are needed in these investigations lead to many challenges. Inadequate visualization solutions as well as long processing times negatively impact work efficiency.

We propose to investigate purpose-designed visualization solutions that aid users in their exploration and comprehension of large genomic datasets. The visualization solutions will be supported by novel algorithms and data structures specifically developed to efficiently manage large amounts of genetic markers and/or DNA sequences. We want to achieve these goals using modern high-performance techniques that have proven useful in the field of Computer-Graphics. Hereby, we intend to enable the interactive exploration, analysis, annotation, and collaboration on such data.

Specifically, several questions will guide our research. How to tradeoff efficiency in storage and performance for visualizing vast amounts of genome data? What visualization techniques/paradigms are suitable for different types of genomic data? How to learn, extract, highlight patterns from such data? How to annotate and summarize genome information? How to enable interactive collaborations among several researchers? In fact, the PhD candidate will have the opportunity to work closely with domain experts to gain insights into their workflows and requirements.

Additionally, given the generality of some of the envisioned solutions, we will search for applications in other areas of the field of Computer Graphics as well.

Specifications

Delft University of Technology (TU Delft)

Requirements

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

  • You are talented and enthusiastic about research.
  • You preferably have a Master in Computer Graphics, Mathematics or related field.
  • You have strong programming skills (C++, OpenGL or GPU programming languages are a plus).
  • You have good communication skills and are able to work in a team.
  • You are creative, ambitious, hardworking and persistent.
  • You have a good command of the English language (knowledge of Dutch is not required).    

Conditions of employment

Fixed-term contract: 4 jaar.

TU Delft offers PhD-candidates a 4-year contract, with an official go/no go progress assessment after one year. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2395 per month in the first year to € 3061 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

Employer

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Challenge. Change. Impact! 

Department

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

The position is offered by the Computer Graphics and Visualization group, which is part of the Department of Intelligent Systems, and in collaboration with the company KeyGene.

The Computer Graphics and Visualization Group has a strong research record and is known for its expertise in rendering, visualization, modeling, game technology, and visual analytics. Besides these major topics, interaction techniques, virtual/augmented reality, vision, perception, computational photography, and simulation play an important role. The group consists of 5 faculty members and around 20 Ph.D. students/postdocs. The group also participates strongly in the Delft Research Initiatives “Environment”, and “Health”, thus aiming to find solutions for tomorrow’s problems. It maintains a strong network of partners worldwide from academia, medical centers, and industry

Specifications

  • PhD
  • Engineering
  • 38—40 hours per week
  • €2395—€3061 per month
  • University graduate
  • TUD00929

Employer

Delft University of Technology (TU Delft)

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Location

Mekelweg 2, 2628 CD, Delft

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