4 Communication Management Jobs in Wien
Ihr Aufgabenbereich
Sie sind für die Themengestaltung und das Contentmanagement der Alumni Aktivitäten, in Abstimmung mit der Head of Alumni Relations und der Themenplanung der Universität Wien, verantwortlich. In dieser Rolle gestalten Sie die Kommunikation für Absolvent*innen und Studierende und ermöglichen somit eine intensive Bindung dieser Zielgruppen.
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Research strategy and development
- Strategic development and implementation of the faculty’s research strategy
- Further development of clinical, translational, interdisciplinary and biomedical research priorities
- Alignment of the research strategy with national and European funding priorities, including FWF, FFG, Horizon Europe and ERC programmes
- Strengthening the faculty’s competitiveness in third-party funded research
- Promotion of open science, FAIR data principles, digital health, artificial intelligence and computational methods in biomedical research
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YOUR TASKS
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- You will manage end‑to‑end customer interactions in selected global markets, serving as the primary contact
- You will think “out of the box” on how to generate value and drive sales, both directly, or through our global & regional partners
- You will be achieving sales budget / quota and strategic account targets and develop accurate forecasts in fast‑moving market environments
- You will build, maintain, and evaluate partner relationships with distributors and agents, ensuring effective execution of pertinent agreements
- You will create and update relevant market overviews, staying informed on legal, regulatory, and marketing developments
- You will oversee the full sales process, from gathering customer requirements and product configuration to collaboration with sales engineering and technical teams
- You will work within the Direct Sales team on projects such as offers, process improvements or marketing activities providing your first hand customer knowledge and market experience
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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.
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