27/03/2020

University Assistant (post doc)

This job offer has expired


  • ORGANISATION/COMPANY
    Faculty of Chemistry
  • RESEARCH FIELD
    Computer scienceOther
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    07/05/2020 00:00 - Europe/London
  • LOCATION
    Austria › Wien
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • REFERENCE NUMBER
    10728
  • MARIE CURIE GRANT AGREEMENT NUMBER
    No

Applications are invited for a Postdoctoral Research in multi-omics supported constraint-based analysis of cancer metabolism. This is a position associated to the group of Prof. Jürgen Zanghellini, to work on the application of computational systems biology methods for understanding cancer progression and identification of drug targets. The successful candidate will join a thriving international research team combining expertise in mathematical modelling, data science and high-performance computing in order to understand cellular functions at the systems level.

This position is ideally suited for an ambitious early career researcher with a background in computational (systems) biology, bioinformatics, data science and/or mathematics. The successful candidate will be highly motivated with an excellent research track record and a desire to pursue multidisciplinary research. In addition, we expect active participation in research, teaching and administration. This involves
- Development and application of constraint-based methods and data science approaches
- Research that complements the activities of the group;
- International publications and presentations
- Contributions to project applications and the acquisition of third-party funding
- Scientific publications and presentations
- Scientific and technical support of group members;
- Independent teaching of courses as defined by the collective agreement
- Supervision of students
- Participation in evaluation measures and quality assurance
- Involvement in the department administration as well as in teaching and research administration This position is ideally suited for an ambitious early career researcher with a background in computational (systems) biology, bioinformatics, data science and/or mathematics. The successful candidate will be highly motivated with an excellent research track record and a desire to pursue multidisciplinary research. In addition, we expect active participation in research, teaching and administration. This involves
- Development and application of constraint-based methods and data science approaches
- Research that complements the activities of the group;
- International publications and presentations
- Contributions to project applications and the acquisition of third-party funding
- Scientific publications and presentations
- Scientific and technical support of group members;
- Independent teaching of courses as defined by the collective agreement
- Supervision of students
- Participation in evaluation measures and quality assurance
- Involvement in the department administration as well as in teaching and research administration

Benefits

Eligibility criteria

Doctoral / PhD degree in (computational) systems biology, (bio)informatics, data science or related subjects;
• Good communication skills and ability to work in a team;
• Profound experience in programming, ideally in Python and R;
• Proven ability to publish in highly ranked international journals;
• Excellent command of written and spoken English.

Furthermore, the following skills/expertise will be an asset:
• Experience with (unbiased) constraint-based methods
• Experience in external fundraising;
• Experience in teaching.

Selection process

Doctoral / PhD degree in (computational) systems biology, (bio)informatics, data science or related subjects;
• Good communication skills and ability to work in a team;
• Profound experience in programming, ideally in Python and R;
• Proven ability to publish in highly ranked international journals;
• Excellent command of written and spoken English.

Furthermore, the following skills/expertise will be an asset:
• Experience with (unbiased) constraint-based methods
• Experience in external fundraising;
• Experience in teaching.

Additional comments

The University of Vienna was founded in 1365 and is the oldest university in the German-speaking world and one of the largest in Central Europe. At present, about 88,000 students are enrolled in 180 courses at the University of Vienna. The University of Vienna is also the largest teaching and research institution in Austria with 8,900 employees, 6,700 of whom are scientists and academics.

Web site for additional job details

Required Research Experiences

  • RESEARCH FIELD
    Computer scienceOther
  • YEARS OF RESEARCH EXPERIENCE
    None

Offer Requirements

Skills/Qualifications

Doctoral / PhD degree in (computational) systems biology, (bio)informatics, data science or related subjects;
• Good communication skills and ability to work in a team;
• Profound experience in programming, ideally in Python and R;
• Proven ability to publish in highly ranked international journals;
• Excellent command of written and spoken English.

Furthermore, the following skills/expertise will be an asset:
• Experience with (unbiased) constraint-based methods
• Experience in external fundraising;
• Experience in teaching.
In addition, we expect the successful candidate to have
- Teaching experience / experience of working with e-learning
- Experience of working on research projects
- Publications in renowned, subject-relevant media (peer-reviewed, depending on the professional standards)
- International presentation experience
Desirable qualifications are
- Knowledge of university processes and structures
- Experience abroad
- Experience of supervising students

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

Specific Requirements

Doctoral / PhD degree in (computational) systems biology, (bio)informatics, data science or related subjects;
• Good communication skills and ability to work in a team;
• Profound experience in programming, ideally in Python and R;
• Proven ability to publish in highly ranked international journals;
• Excellent command of written and spoken English.

Furthermore, the following skills/expertise will be an asset:
• Experience with (unbiased) constraint-based methods
• Experience in external fundraising;
• Experience in teaching.
In addition, we expect the successful candidate to have
- Teaching experience / experience of working with e-learning
- Experience of working on research projects
- Publications in renowned, subject-relevant media (peer-reviewed, depending on the professional standards)
- International presentation experience
Desirable qualifications are
- Knowledge of university processes and structures
- Experience abroad
- Experience of supervising students

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

Work location(s)
1 position(s) available at
Department of Analytical Chemistry
Austria
VIENNA
Wien
1090
Währinger Straße 38

EURAXESS offer ID: 508863
Posting organisation offer ID: 10728

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