Tenure-Track Professorship in Computational Statistics and Data Analysis
- Doctoral degree/PhD
- Two years of international research experience during or after doctoral studies
- Outstanding research achievements, excellent publication and funding record, international reputation
- Gender and diversity competence
- Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding
- Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level
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Ihr Aufgabenbereich
- strengthening of our analysis activities with the CMS experiment, in particular, taking a key role in the area of physics of the top quark and measurements with energy correlators
- data analysis, including the improvement of existing and the development of novel analysis strategies with novel machine-learning-based unfolding techniques and
- interpretation of results in the context of SM
- supervision of students
- contributions to maintenance and development of the reconstruction and the calibration of physics objects
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Ihr Aufgabenbereich
- strengthening of our analysis activities with the CMS experiment, in particular, taking a key role in the area of physics of the top quark
- data analysis, including the improvement of existing and the development of novel analysis strategies with novel machine-learning techniques and unbinned methodology
- interpretation of results in the context of SM effective field theory
- supervision of students
- contributions to maintenance and development of the reconstruction and the calibration of physics objects
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Your professional field of activity:
- Collaboration and research in the field of mathematical proof automation:
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Ihr persönlicher Wirkungsraum:
- Mit Lebenslauf / kurzem Motivationsschreiben
- Abschlusszeugnis (Fachmatura, ggf. BSc. Abschluss)
- Weitere Dokumente, wo notwendig
- Über unser Jobportal / Bewerben Button
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Teilzeit | befristet
Innsbruck
18.07.2025
Innsbruck
Your Tasks
- Performing experimental research on many-body physics and quantum information processing in a dual-species array of atoms coupled to Rydberg states
- Analysis of experimental results and writing scientific publications
- Tutor bachelor and master students
- Representing the group on conferences and workshops via poster presentations and talks
- Supporting the group in administrative tasks
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Your personal sphere of influence:
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Completed Bachelor's degree or equivalent in Computer Science, Data Science, Bioinformatics, Medical Informatics, or a related technical field. A Master's degree is a plus but not a requirement -
Solid knowledge in scientific computing and data engineering -
Formal education or practical experience in computer science or data engineering -
Strong initiative and excellent organizational skills -
Passion for developing and optimizing advanced data infrastructures -
Experience handling sensitive data and familiarity with relevant data protection standards (e.g. GDPR), ideally in the healthcare sector -
Proficient in working with data management systems and frameworks (e.g. SQL, NoSQL databases like MongoDB or ElasticSearch) -
Familiar with container technologies (e.g. Docker) -
Hands-on experience with version control and collaborative development tools (e.g. Git, GitHub, GitLab) -
Basic knowledge of machine learning and statistical analysis methods
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Ihr beruflicher Tätigkeitsbereich:
- Mitarbeit und Forschung auf dem Gebiet der Mathematischen Beweisautomatisierung:
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Your Tasks
- Develop software to do data analysis using data collected by the ALICE experiment
- Perform in-person data-taking shifts in Geneva, Switzerland, with the ALICE Collaboration
- Take part in meetings of the ALICE Collaboration remotely and in-person
- Perform support work for the operation of the ALICE detector at CERN
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Wir bieten:
- Flexible working hours
- Home-office possibility (hybrid model, depending on the project)
- This position will be newly created in the company
- Employee share in the company's success
- Meal subsidy and subsidised lunch
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Your Tasks
- Develop software to do data analysis using data collected by the ALICE experiment
- Perform in-person data-taking shifts in Geneva, Switzerland, with the ALICE Collaboration
- Take part in meetings of the ALICE Collaboration remotely and in-person
- Interact with theoreticians of the field of particle physics to interpret ALICE measurements
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Your personal sphere of influence:
- CV
- letter of motivation
- leaving certificate
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Your personal sphere of influence:
- You develop computational tools for designing optimal synthetic communities and modularized production units within microbes.
- You create software solutions and data processing pipelines for computational modeling, including data analysis and preparation of results for publication.
- You sign a doctoral thesis agreement within 12-18 months and complete your thesis within the duration of the contract.
- You work on your dissertation and its completion.
- You hold courses independently within the scope of the provisions of the collective bargaining agreement.
- You contribute to the organization of meetings, conferences, and symposiums as required.
- You take on and assist with administrative tasks in research, teaching and administration.
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Your personal sphere of influence:
- Collaboration and research in the field of Computational Partial Differential Equations:
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Your personal sphere of play:
- Development and evaluation of health behavior interventions, including interventions focusing on the physical environment and digital interventions
- Impact of study participation on the experience and behaviour of study probands (research participation effects)
- Social inequality in digital health interventions (Digital Divide)
- Women’s health
- Science communication
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Your personal sphere of influence:
- Focus in the first year: Implementation of an Electronic Lab Notebook, including the development of relevant training materials, templates, and a monitoring system.
- Advisory activities and support for researchers in the field of research data management and open science, with a focus on biological (sequence data, microscopy) and chemical-analytical (mass spectrometry) data and data analysis.
- Design and delivery of tailored training sessions on research data management and open science, particularly within the Vienna Doctoral School of Microbiology and Environmental Science and the Postdoc training at the Center.
- Design of workflows for data exchange and storage of lab-based instruments, as well as their implementation in collaboration with the IT team.
- Design and development of innovative discipline-specific services in research data management.
- Integration with international platforms for the exchange and archiving of research data—awareness-building for sustainable research data management.
- Development of processes, policies, and standards for research data management.
- Support in creating data management plans for national (e.g., FWF Austrian Science Fund) and international research projects (e.g., EU Horizon 2020 Data Management).
- Assistance with the documentation and archiving of research permits, such as those related to the Nagoya Protocol or sample import/export documents.
- Conducting needs assessments among researchers at the center.
- Networking within internal university, national, and international networks and initiatives.
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Your personal sphere of play:
- Candidates must have been awarded a PhD or have submitted their doctoral thesis by the date of the interview (probably early September).
- Strong background in movement analysis with athletes (preferable)
- Experience with musculoskeletal modeling (preferable)
- Teaching experience
- Contacts to athletic sport federations are a plus.
- Proven experience in presenting research at international conferences (international awards are a plus!)
- Hands-on experience with 3D motion capture data and medical image processing
- Fluent in English (written and spoken); German is desirable but not required
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Your personal sphere of influence:
The newly established Vienna Doctoral College on Digital Humanism invites applications from outstanding candidates eager to shape the future of this emerging interdisciplinary field. The Doctoral College is located across the TU Wien, University of Vienna, and WU Wien and its doctoral candidates tackle critical societal challenges arising from digital transformation.
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Your Tasks
- Hold a PhD in Social Anthropology or a closely related field, awarded by 1 January 2026; no earlier than 10 years prior (plus parental leave).
- Have prior experience conducting long-term ethnographic fieldwork in Southeast Asia.
- Willingness and ability to conduct 12–15 months of fieldwork in Indonesia, Malaysia, or the Philippines.
- Fluency in a language relevant to fieldwork in Indonesia, Malaysia, or the Philippines.
- Ability to work independently, including conducting fieldwork, data analysis and writing, plus develop original lines of inquiry.
- Familiarity with the anthropological literature on resource extraction and animism.
- Show awareness of ethical considerations in fieldwork on extractive industries.
- Understand issues related to personal and participant security during fieldwork.
- Be prepared to join an existing research project and actively contribute to its central aims and collaborative inquiries.
- Be prepared to reside in Austria for the duration of the position (excluding fieldwork) and actively participate in project and institute events.
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Vollzeit | Teilzeit | befristet
Your personal sphere of influence:
- They are involved in research projects and scientific studies in the field of “The Dynamics of Change: The Sculptural Oeuvre of St. Stephen's Cathedral in Vienna”.
- We expect you to finalize your dissertation agreement within 12-18 months.
- You work on your dissertation and its completion.
- You hold courses independently within the scope of the provisions of the collective bargaining agreement.
- You take on administrative tasks in research, teaching and administration.
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Your Tasks
- Hold a PhD in Social Anthropology or a closely related field, awarded by 1 January 2026; no earlier than 10 years prior (plus parental leave).
- Previous research experience in the field of digital and/or environmental anthropology.
- Experience in and willingness to conduct long-term ethnographic fieldwork and have relevant language skills.
- Ability to work independently, including conducting fieldwork, data analysis and writing, plus develop original lines of inquiry.
- Familiarity with the anthropological literature on energy and artificial intelligence.
- Be prepared to join an existing research project and actively contribute to its central aims and collaborative inquiries.
- Be prepared to reside in Austria for the duration of the position (excluding fieldwork) and actively participate in project and institute events.
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Your personal sphere of influence:
- You are involved in research projects.
- Your are involved in publications and scientific articles.
- Your are involved in organising meetings, conferences and symposiums.
- You work on your media sicience dissertation and its completion.
- You hold courses independently within the scope of the provisions of the collective bargaining agreement.
- You take on administrative tasks in research, teaching and administration.
- You supervise students.
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Tenure-Track Professorship in Human Computer Interaction
- Doctoral degree/PhD
- Two years of international research experience during or after doctoral studies
- Outstanding research achievements, excellent publication and funding record, international reputation
- Gender and diversity competence
- Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding
- Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level
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Tenure-Track Professorship in Digital Editorial Studies and Computational Methods of Modern History
- Doctoral degree/PhD
- Two years of international research experience during or after doctoral studies
- Outstanding research achievements, excellent publication and funding record, international reputation
- Gender and diversity competence
- Experience in designing of and participating in research projects, ability to lead research groups and acquire third-party funding
- Enthusiasm for excellent teaching and supervision at the bachelor's, master's, and doctoral level
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Detailed description
- Develop and complete a PhD dissertation on geohazard modelling (physical geography focus)
- Contribute to project and group activities, including workshops and internal meetings
- Participate in empirical fieldwork and scientific conferences
- Assist in writing research articles, project proposals, and other research-related outputs
- Support administrative and outreach tasks related to the project
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Your personal sphere of play:
- Establishing or expanding your profile as an independent researcher in cooperation with colleagues at EIF;
- Being active internationally in publishing and holding lectures;
- Founding long-term structures for research and acquisition of external funds;
- Teaching and supervising students;
- Participating in research projects and hosting international conferences;
- Taking part in research evaluations and quality assurance;
- Involvement in administrating research, teaching and institutional matters;
- Starting date scheduled from September 1st, 2025; Duration of the limited contract for 36 months (August 31st, 2028); Deadline for applications on June 9th, 2025.
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Your personal sphere of influence:
The newly established Vienna Doctoral College on Digital Humanism invites applications from outstanding candidates eager to shape the future of this emerging interdisciplinary field. The Doctoral College is located across the TU Wien, University of Vienna, and WU Wien and its doctoral candidates tackle critical societal challenges arising from digital transformation.
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Ihr beruflicher Tätigkeitsbereich:
- Mitarbeit und Forschung auf dem Gebiet der Partiellen Differentialgleichungen:
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