The University of Vienna (20 faculties and centres, 184 fields of study, approx. 10.400 members of staff, about 90.000 students) seeks to fill the position as soon as possible of a

University Assistant (post doc)
at the Department of Analytical Chemistry


Reference number: 13567

We are pleased to advertise a Postdoc position at the Institute of Analytical Chemistry in the group of Prof. Jürgen Zanghellini. The group combines mathematical modelling and high performance computing with a data science approach in order to decode and understand cellular functions.
You will focus on the development of computational, systems biology methods to analyse the growth of cancer cells and the identification of drug targets.



Duration of employment: 3 year/s

Extent of Employment: 40 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) with relevant work experience determining the assignment to a particular salary grade.

Job Description:
This position is ideal for an ambitious scientist with a background in computational (systems) biology, bioinformatics, data science and/or mathematics. Additionally we expect active participation in research, teaching and administration. This includes:
- Creating/developing an independent research profile
- Participating in research projects and in scientific studies
- International publishing and speaking
- Applying for grants and funding
- Preparing and finishing a publishable Habilitation (postdoc thesis)
- Teaching as required (according to the collective bargaining agreement)
- Supervision of students
- Participating in performance evaluation and quality assurance measures
- Research, teaching and general administration


Profile:
- PhD in (computational) systems biology, bio informatics, data science or related subjects
- Good communication and the ability to work in a team
- Strong programming experience, ideally Python or R
- Proven ability to publish in top international journals
- Excellent spoken and written English


The following would be an advantage:
- Experience in constraint-based methods
- Experience in external fundraising
- Teaching experience

We also expect
- Teaching and e-learning experience
- Experience in collaboration at research projects
- Publication record in quality media (peer reviewed dependent on subject)
- Experience giving talks

Application documents:
Letter of motivation
Academic curriculum vitae (including a list of publications, a list of courses and a list of talks given)
Description of research interests and research agenda
Contact details of people who would provide a letter of reference




Research fields:
Main research field
Special research fields Importance
Chemistry
Analytical chemistry SHOULD
Biology
Bioinformatics SHOULD
Mathematics
Biomathematics;Analysis SHOULD


Education:
Educational institution
Educational level Special subject Importance
University
Chemistry Analytical chemistry SHOULD
University
Mathematics, Computer Sciences Bioinformatics SHOULD


Languages:
Language
Language level Importance
English
Excellent knowledge MUST
German
Very good knowledge SHOULD


Computer-Skills:
Type of computer skills
Specified computer skills  Importance
Basic Knowledge
MS Office MUST
Basic Knowledge
MS Outlook MUST


Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 05.10.2022, mentioning reference number 
13567.

For further information please contact Zanghellini, Jürgen +43-1-4277-52306, Danek, Theodora +43-1-4277-52340.

The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.

Human Resources and Gender Equality of the University of Vienna
Reference number: 13567
E-Mail: jobcenter@univie.ac.at
Privacy Policy of the University of Vienna


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