3 PhD candidate Jobs in Wien
Your Tasks
- Finalize your dissertation agreement within the first 12 months.
- Complete and submit your doctoral thesis within 4 years in either cumulative (collection of articles) or monographic form.
- Conduct independent and collaborative research within the project’s “Media Expressions and Rituals of Ideology” work package.
- Contribute to the project’s theoretical development, collective research output, and activities.
- Produce research publications for leading international and/or peer reviewed journals and book chapters for IDEO-YEMEN.
- Present research at international conferences and workshops.
- Produce research dissemination materials for the project’s website and social media.
- Actively participate in ISA’s academic environment, including team meetings and workshops.
|
Vollzeit | Teilzeit | befristet
Your Tasks
- Positronium chemistry studiesSimulate, construct & perform novel experiments to measure the propeties of positronium compounds, such as positronium hydride.Develop new experiments with positronium and positronium compounds.Upgrade and maintain the Vienna positron beamline used for these experiments.
- ASACUSA antihydrogen experiment
- Participate in antiproton beamtime at CERN to improve the ASACUSA collaboration’s antihydrogen beam. This involves optimisation of cold antimatter plasmas and the interactions of the produced antihydrogen within the plasma and subsequent spectroscopy apparatus.Upgrade and maintain the CERN positron beamline to ensure a constant supply of positrons to the experiment.
- Publish results in high-impact journals and present results at international conferences.
- Teach PhD and Masters students within the group.
|
Postdoc (f/m/x) - Working on AI Applications for Rare Event Searches with Cryogenic Detectors
- PhD in Particle Physics, Astroparticle Physics, or a closely related field.
- Strong background in artificial intelligence, machine learning, and data science.
- Experience with cryogenic detectors or low-temperature experimental systems is highly desirable.
- Proficiency in programming languages such as Python or C++.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools.
- Excellent problem-solving skills and the ability to work effectively in interdisciplinary teams.
- Strong communication skills and a proven track record of scientific publications.
|
