Two PhD positions in Genomics

Institution/Company:
Graz University of Technology
Location:
Graz, , Austria
Job Type:
  • PhD
Degree Level Required:
Masters, Bachelor's
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Two PhD positions in Genomics

The position is intended to give promising candidates the opportunity to pursue advanced research in Functional Genomics leading to a doctoral degree in Natural (Dr. rer. nat.) or Technical (Dr. Techn.) Sciences.

Responsibilities:

Doctoral candidates are expected to explore and address open research questions in the field of Bioinformatics, contribute to existing projects in the Institute for Biomedical Informatics, present their work at conferences, write scientific articles describing their findings, support teaching, undertake duties in academic self-administration, and actively participate in the activities of the group.

Qualifications:

Master’s level degree in Bioinformatics, Informatics in the Natural Sciences, Applied Computer Sciences, Molecular Biology, Bioengineering or equivalent. In addition, the ideal candidate should have

  • good programming skills (e.g., Perl, Python, R; see “Beginning Perl for Bioinformatics” by James D. Tisdall and “Developing Bioinformatics Computer Skills” by Cynthia Gibas and Per Jambeck).
  • proven knowledge of Molecular Biology at the level of Benjamin Lewin’s “Genes XII”.
  • a solid understanding of statistics.
  • familiarity with UNIX/Linux, including shell scripting.
  • experience – with the analysis of NGS data, building NGS pipelines (e.g., Snakemake) and using bioinformatics tools; and/or – in the field of (human) genomics.
  • a high level of organization and attention to detail.
  • the willingness and ability to work individually and as part of a team.
  • a strong interest in interdisciplinary research and the ability to work in a team. And be
  • proficient in both written and oral English.
  • creative.
  • self-motivated, with strong work ethics.
  • open-minded.

Practical experience with sequencing technologies (in particular, Oxford Nanopore Technologies) and/or Machine Learning would be valuable assets.

  • How to Apply

    Please, visit https://www.tugraz.at/institute/bioinfo/news/vacancies/.