PhD in Computational Virology (m,f,x)
The group of Dr. Daniel Todt in the Department of Molecular & Medical Virology at the Ruhr University Bochum is seeking a highly motivated and talented PhD student (w/m/d) for our new BMBF-funded (German Federal Ministry of Education and Research) research group in Computational Virology. The position (TV-L E13 – 75%) is initially limited to three years.
Our group combines strong expertise in RNA virus biology and bioinformatics. We study virus-host interactions of hepatotrophic viruses, mainly hepatitis E virus (HEV), using -omics data sets. We aim to identify viral mutations associated with treatment failure and understand differential immune responses in patients suffering from chronic or acute HEV infections. Furthermore, we apply machine learning algorithms to identify viral signatures in large transcriptomic datasets.
Besides well established Illumina-based protocols, we are currently establishing Oxford Nanopore Sequencing and plan to set-up single cell RNA sequencing in our faculty.
To complement our research team, we are seeking a highly motivated doctoral candidate. Main projects handled by the successful applicant will include evaluation of RNAseq data sets, both bulk and single cell, as well as virus population analyses based on amplicon sequencing data using bioinformatic tools. Moreover, deep learning methods will be implemented to identify RNA viral sequence snippets in large transcritpome data sets of transplant patients. In addition, the candidate will be involved in all aspects of the new group, including supervision of Bachelor and Master students.
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- implementation of bioinformatics tools and pipelines to analyze high throughput sequencing data (HTS) in infection biology, both individual and in a team,
- design and coordination of HTS experiments to address scientific questions in RNA virus-host interactions,
- independent development of deep learning algorithms to identify virus sequence snippets in HTS data,
- supervision of Bachelor and Master students.
- a Masters degree (or equivalent) in bioinformatics, biology or related field,
- profound knowledge and understanding of virology and cell biology,
- solid experience in state-of-the-art sequencing techniques,
- knowledge in handling of bioinformatic pipelines and basics of script languages is advantageous,
- ideally, previous application of machine learning algorithms,
- interest in working in an international and interdisciplinary environment,
- fluency in written and spoken English language is mandatory.
- challenging and varied tasks with a high level of personal responsibility,
- a qualified training,
- team-oriented cooperation in a committed, international and appreciative team,
- a modern equipped workplace,
- employment at one of Germany’s largest universities in the University Alliance Ruhr network.
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.
If the position is funded by third-party funds the employee has no teaching obligation.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact details for your application:
Herr Dr. Daniel Todt, Phone: +49234 32 22463
Herr Prof. Dr. Eike Steinmann, Phone: +49234 32 28189
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
We are looking forward to receiving your application with the specification ANR: 1706 until 10/04/2023, send by e-mail to the following address: firstname.lastname@example.org