08/05/2020

University Assistant (post doc)

This job offer has expired


  • ORGANISATION/COMPANY
    Faculty of Life Sciences
  • RESEARCH FIELD
    NeurosciencesNeurobiology
    NeurosciencesOther
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    28/05/2020 00:00 - Europe/London
  • LOCATION
    Austria › Vienna
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/09/2020
  • REFERENCE NUMBER
    10768
  • MARIE CURIE GRANT AGREEMENT NUMBER
    No

Do you have a strong interest in systems biology and disease-related research in the context of chronic pain?
Do you want to benefit from working in an interdisciplinary, dynamic, and highly motivated research group embedded in the excellent and international environment of the University of Vienna?
Then come join our new team at the Department of Pharmacology and Toxicology as a Postdoctoral fellow.
Our translational research focuses on the molecular underpinnings of painful pathologies in vertebrates. In particular, we have setup an integrated workflow for the discovery of system-wide proteome dynamics involved in chronic pain; please see our current lab webpage http://www.em.mpg.de/index.php (research Dr. Manuela Schmidt) for more information.
The goal of our work is to reveal protein and protein network signatures of chronic pain in preclinical mouse models and also in humans (as part of on-going clinical collaborations).
Our research group is embedded in the Department of Pharmacology and Toxicology and the Pharmaceutical Sciences at the University of Vienna. Thus, we benefit from close interactions with experts in chemical medicine, bioinformatics, drug screening, and systems biology. This interdisciplinary and dynamic environment provides ideal opportunities for collaborative research, learning, and, generally, scientific as well as personal development.
The position is limited with 6 years, starting date is September 1, 2020.

The offered position combines several techniques relevant for biomedical molecular research, i.e. biochemistry, quantitative mass spectrometry-based proteomics, bioinformatics-based systems biology, and studies of behavior in mouse pain models. The goal of our work is to reveal protein and protein network signatures of chronic pain in preclinical mouse models and also in humans (as part of on-going clinical collaborations). These signatures might represent novel targets for the development of more efficient therapies of chronic pain.
Active participation in research, teaching and administration. This involves - Developing and strengthening the independent research profile - Involvement in research projects / research studies - International publications and presentations - Responsibility for project applications and the acquisition of third-party funding - 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. The offered position combines several techniques relevant for biomedical molecular research, i.e. biochemistry, quantitative mass spectrometry-based proteomics, bioinformatics-based systems biology, and studies of behavior in mouse pain models. The goal of our work is to reveal protein and protein network signatures of chronic pain in preclinical mouse models and also in humans (as part of on-going clinical collaborations). These signatures might represent novel targets for the development of more efficient therapies of chronic pain.
Active participation in research, teaching and administration. This involves - Developing and strengthening the independent research profile - Involvement in research projects / research studies - International publications and presentations - Responsibility for project applications and the acquisition of third-party funding - 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 degree/PhD degree - Candidates combining expertise in biochemistry (with focus on ion channel multi-complexes), quantitative proteomics (mass spectrometry sample preparation, bioinformatic analysis of mass spectrometry data using the R-environment as well as Perseus), molecular biology, in vivo virus-mediated gene transfer, and mouse pain models (inflammatory pain, neuropathic pain) are especially encouraged to apply.
Excellent command of written and spoken English - IT user skills - Ability to work in a team.

Selection process

Doctoral degree/PhD degree - Candidates combining expertise in biochemistry (with focus on ion channel multi-complexes), quantitative proteomics (mass spectrometry sample preparation, bioinformatic analysis of mass spectrometry data using the R-environment as well as Perseus), molecular biology, in vivo virus-mediated gene transfer, and mouse pain models (inflammatory pain, neuropathic pain) are especially encouraged to apply.
Excellent command of written and spoken English - IT user skills - Ability to work in a team.

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
    NeurosciencesNeurobiology
  • YEARS OF RESEARCH EXPERIENCE
    None
  • RESEARCH FIELD
    NeurosciencesOther
  • YEARS OF RESEARCH EXPERIENCE
    None

Offer Requirements

Skills/Qualifications

Doctoral degree/PhD degree - Candidates combining expertise in biochemistry (with focus on ion channel multi-complexes), quantitative proteomics (mass spectrometry sample preparation, bioinformatic analysis of mass spectrometry data using the R-environment as well as Perseus), molecular biology, in vivo virus-mediated gene transfer, and mouse pain models (inflammatory pain, neuropathic pain) are especially encouraged to apply.
Excellent command of written and spoken English - IT user skills - Ability to work in a team. In addition, candidates should have a good publication record and demonstrated experience in scientific publishing. W expect the successful candidate to have teaching experience and experience of working on research Projects.
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

Specific Requirements

Doctoral degree/PhD degree - Candidates combining expertise in biochemistry (with focus on ion channel multi-complexes), quantitative proteomics (mass spectrometry sample preparation, bioinformatic analysis of mass spectrometry data using the R-environment as well as Perseus), molecular biology, in vivo virus-mediated gene transfer, and mouse pain models (inflammatory pain, neuropathic pain) are especially encouraged to apply.
Excellent command of written and spoken English - IT user skills - Ability to work in a team. In addition, candidates should have a good publication record and demonstrated experience in scientific publishing. W expect the successful candidate to have teaching experience and experience of working on research Projects.
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

Work location(s)
1 position(s) available at
Department of Pharmacology and Toxicology
Austria
VIENNA
Vienna
1010
Universitätsring 1

EURAXESS offer ID: 521562
Posting organisation offer ID: 10768

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