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 Pharmaceutical Sciences
Reference number: 13624
The Department of Pharmaceutical Sciences, Pharmacoinformatics Research Group, invites applications for a University Assistant (post doc) position. The candidate should have an excellent track record in the field of machine learning and deep learning, preferentially in the area of drug design and toxicity prediction. The candidate will be embedded in a very ambitious international research team. We expect active interaction with the partners of the IMI projects “Resolute” and “RiskHunt3r”
Duration of employment: 6 year/s
Extent of Employment: 20.0 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:
Your areas of responsibility include the scientific support of our projects related to machine learning and deep learning in drug design and toxicity prediction. We also expect design and execution of own research projects in the field of pharmacoinformatics, as well as the publication of results in international peer-reviewed journals. Furthermore, we expect your collaboration in already ongoing projects in the team and your participation in teaching.
Profile:
- PhD in the field of Sciences
- Excellent knowledge in the field of machine learning and deep learning
- Programming knowledge in at least one language (preferentially Python) and/or knowledge of deep learning/AI frameworks (TensorFlow, PyTORCH, …)
- Documented publication activity in peer-reviewed journals
- Excellent command of English language
- High ability to cope with pressure
- Good team-working ability
- Ability to publish and present in English
- High ability to cope with pressure
- Good team-working ability
- Ability to publish and present in English
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 / of the intended habilitation project (if applicable)
- Contact details of people who could provide a letter of reference
Research fields:
|
Main research field
|
Special research fields |
Importance |
|
Pharmacy, Pharmacology, Toxicology
|
Pharmacy |
SHOULD |
Education:
|
Educational institution
|
Educational level |
Special subject |
Importance |
|
University
|
Other and interdisciplinary Natural Sciences |
Interdisciplinary natural sciences |
SHOULD |
Languages:
|
Language
|
Language level |
Importance |
|
English
|
Very good knowledge |
MUST |
Computer-Skills:
|
Type of computer skills
|
Specified computer skills |
Importance |
|
Basic Knowledge
|
MS Office |
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 02.11.2022, mentioning reference number 13624.
For further information please contact Ecker, Gerhard +43-1-4277-55110, Schwarzenböck, Magdalena .
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: 13624
E-Mail:
jobcenter@univie.ac.at
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