Job Information
- Organisation/Company
- University of Tübingen
- Department
- Microbiology and Infection Medicine
- Research Field
- Computer scienceComputer science » Other
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Germany
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 38
- Is the job funded through the EU Research Framework Programme?
- H2020 / Marie Skłodowska-Curie Actions
- Marie Curie Grant Agreement Number
- 101072485
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Would you like to participate in an exciting
interdisciplinary European network of scientists to transform natural
product discovery using computational omics approaches? Do you enjoy
collaboration and teamwork while being at the cutting edge of scientific
progress? We are looking for a PhD candidate
(f/m/d; E13 TV-L, 65%) with expertise in computational genomics to
pioneer new technologies for omics-based natural product discovery.
About the project
Microorganisms are an untapped resource for natural bioactive
compounds that constitute a source of candidates for the development of
pharmaceuticals and crop protection agents. Computational integration of
different types of omics data, such as genomics and metabolomics
profiles, constitutes a promising avenue to uncover this potential.
Within the European network, a PhD position is available at the University Hospital Tübingen within the group Translational Natural Products Genome Mining.
In the project, the candidate will develop innovative computational
approaches to chart the biosynthetic diversity found in microbial
(meta)genomes. You will improve current software and workflows and
develop phylogenetic methods of biosynthetic enzymes to enhance
predictions of their metabolic products. Extensive international
collaboration is foreseen, as these positions are part of a European
training network and also will include a secondment at an international
company. Specifically, the Doctoral Network MAGic-MOLFUN aims to
integrate Natural Products Genome Mining, computational metabolomics and
state-of-the art metabolic engineering and pathway discovery to develop
ground-breaking tools and approaches to improve natural products
discovery and characterization in bacteria and fungi, two major sources
of bioactive compounds for applications in medicine, agriculture, food
and biotechnology.
The research is embedded within the Translational Genome Mining for
Natural Products Group at the Institute for Bioinformatics and Medical
Informatics (IBMI) and the Interfaculty Institute for Microbiology and
Infection Medicine Tübingen (IMIT) led by Prof. Dr. Nadine Ziemert. We
are a highly interdisciplinary and enthusiastic group at the interface
of bioinformatics, molecular and environmental microbiology, and
phylogenetics. We are currently developing bioinformatic tools for the
discovery of natural products from microbial genomes, elucidating the
evolutionary history of their biosynthetic gene clusters and tracing
their distribution in the environment.
Your profile
We are looking for an enthusiastic and complementary team player with all or a subset of the following skills:
- a solid academic record (MSc) in bioinformatics, biology, chemistry or a related discipline
- experience in computational omics analysis and proficiency in programming (in, e.g., Python)
- at least basic to intermediate statistical and mathematical skills
- demonstrable experience in working with next-generation sequencing data
- affinity with microbiology, metabolism and/or biosynthetic pathways
- team player attitude, enjoying multidisciplinary science
- a very good level of oral and written English.
- to
accept a position within the Marie-Curie training network, researchers
must not have resided or carried out their main activity (work, studies,
etc.) in the country of the recruiting beneficiary (i.e., Germany) for
more than 12 months in the 3 years immediately before the recruitment
date.
Our offer
We are offering you an exciting research position at a highly
renowned university, in a welcoming, interdisciplinary and agile team
which is well-connected across institutes internationally. Prof. Ziemert
is committed to ensuring you the possibility to conduct research with a
high amount of autonomy, a collegial work atmosphere and ongoing career
mentoring. In addition to exciting research PhD project, you will
receive a comprehensive transferable skill training that includes a
personal career development plan that will equip you for todays’ demands
of a successful career in industry and academia.
We provide remuneration in accordance with the TV-L (collective
agreement for public employees of the German federal states) 65% as well
as all corresponding benefits, e.g., extensive visa and onboarding
assistance, 30 days/year of paid vacation, flexible working hours,
discounted public transportation etc, for 3 years initially with the
probability of elongation. International students will be supported by
the Welcome Center before and during their stay at the University of
Tuebingen or the University Hospital of Tuebingen. They can provide
guidance and help with visa issues and can give advice about housing.
We value diversity in science, and particularly look forward to
receiving applications from women, non-binary people, and researchers
from underrepresented groups across cultures, genders, ethnicities, and
lifestyles. We actively promote the compatibility of science, work,
studies, family life and care work. In case of equal qualification and
experience, physically challenged applicants are given preference.
How to apply
Please send your application (including motivation letter, curriculum
vitae, certificates, representative publications, academic references,
and links to publicly available code examples (e.g., GitHub, OSF, etc.)
as a single PDF to Prof. Dr. Nadine Ziemert: nadine.ziemert@uni-tuebingen.de.
Application deadline: January 15th, 2023.
Requirements
- Research Field
- Computer science
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Biological sciences
- Education Level
- Bachelor Degree or equivalent
- a solid academic record (MSc) in bioinformatics, biology, chemistry or a related discipline
- experience in computational omics analysis and proficiency in programming (in, e.g., Python)
- at least basic to intermediate statistical and mathematical skills
- demonstrable experience in working with next-generation sequencing data
- affinity with microbiology, metabolism and/or biosynthetic pathways
- team player attitude, enjoying multidisciplinary science
- a very good level of oral and written English.
- to accept a position within the Marie-Curie training network, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary (i.e., Germany) for more than 12 months in the 3 years immediately before the recruitment date.
- Languages
- ENGLISH
- Level
- Good
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- University of Tübingen
- Country
- Germany
- City
- Tübingen
- Geofield
Where to apply
- nadine.ziemert@uni-tuebingen.de
Contact
- City
- Tübingen
- Website
- Street
- Elfriede Aulhorn Str. 6
- Postal Code
- 72076