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EURAXESS

Postgraduate Research Associate (project employment) / Reference Code 59

University of Natural Resources and Life Sciences Vienna The Human Resources Strategy for Researchers
21 Mar 2024

Job Information

Organisation/Company
University of Natural Resources and Life Sciences Vienna
Department
Personnel Management
Research Field
Computer science » Informatics
Biological sciences » Biological engineering
Mathematics » Statistics
Technology » Biotechnology
Researcher Profile
First Stage Researcher (R1)
Country
Austria
Application Deadline
Type of Contract
Temporary
Job Status
Part-time
Hours Per Week
30
Offer Starting Date
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Reference Number
59
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

The Department of Biotechnology, Institute of Computational Biology is currently seeking a Postgraduate Research Associate )project employment).

Extent of employment:         30 hours per week

Duration of employment:      1st of July 2024, limited to 31st of May 2027

Workplace: 1190 Vienna, Muthgasse 18

Gross monthly salary and pay grade in terms of collective agreement for university staff (payable 14 times per year): B1, € 2.684,10

Responsibilities

  • Computational prediction and characterisation of protein-protein interaction interfaces using workstations and high performance compute clusters
  • Developing and application of machine learning methods
  • Maintaining code and documentation in open source repositories
  • Writing scientific publications and a cumulative PhD theses (PhD thesis is desired)
  • Presenting results in seminars and scientific meetings
  • Consultation of and interaction with computational and life science experts
  • Conducting outreach activities

Required skills and qualifications

  • Diploma degree in Biotechnology or other equivalent university degree
  • Good command of written and spoken English
  • Experience with applying biostatistics or machine learning for biological data analysis (e.g. demonstrated by a respective MSc theses)
  • Excellent command of R (e.g. applying bioconductor libraries) or Python (numpy, pandas, scikit learn)
  • Completed lectures with a machine learning and biostatistics focus
  • Domain knowledge in molecular biology
  • Experience with information retrieval using biological repositories
  • Practical experience in life science research (e.g. student practica or student job)

Desirable skills and qualifications

  • Good command of German
  • Scientific curiosity
  • Self driven, hands on attitude and a willingness to accept advise
  • Good team player

University of Natural Resources and Life Sciences Vienna seeks to increase the number of its female faculty and staff members. Therefore qualified women are strongly encouraged to apply. In case of equal qualification, female candidates will be given preference unless reasons specific to an individual male candidate tilt the balance in his favour.

People with disabilities and appropriate qualifications are specifically encouraged to apply.

Please send your job application incl.

  • Motivation letter
  • CV
  • Copies of relevant certificates and appraisal reports
  • Names of two referees who may be contacted for written references

to Dr. Peter Sykacek, E-Mail: peter.sykacek@boku.ac.at; (Reference code: 59)

We regret that we cannot reimburse applicants travel and lodging expenses incurred as part of the selection and hiring process.

www.boku.ac.at

Requirements

Research Field
Computer science » Informatics
Education Level
Master Degree or equivalent

Additional Information

Website for additional job details

Work Location(s)

Number of offers available
1
Company/Institute
Institute of Computational Biology
Country
Austria
City
Vienna
Postal Code
1190
Street
Muthgasse 18
Geofield

Where to apply

E-mail
peter.sykacek@boku.ac.at

Contact

City
Vienna
Website
Street
Peter-Jordan-Straße 70
Postal Code
1190