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Scientific project assistant predoctoral(m/w/x)
Developing PhD project in mathematical statistics or machine learning for a major research university. Strong background in statistics and probability theory required. Flexible working hours, partial remote work.
Anforderungen
- Master's degree or diploma in statistics, mathematics, or related field
- Strong background in mathematical statistics and probability theory
- Enthusiasm for abstract mathematical problems
- Strong tenacity and patience in problem-solving
- Active interaction and discussion with colleagues
- Programming skills
- Didactic competences / e-learning experience
- Excellent written and spoken English (C1 Level)
Aufgaben
- Develop and complete PhD project in mathematical statistics or machine learning
- Finalize dissertation agreement within 12-18 months
- Participate regularly in PhD seminars
- Acquaint yourself with recent research areas
- Formulate and solve new mathematical problems
- Work under supervision of PhD advisor
- Handle administrative tasks in research
- Work on publications, academic articles, and presentations
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- e-learning
Benefits
Flexibles Arbeiten
- Flexible working hours
- Partial remote work
Lockere Unternehmenskultur
- International academic team
Sonstige Vorteile
- Healthy and fair working environment
- Equal opportunities
- Anti-discriminatory employment policy
- Diversity
Parkplatz & Pendelvorteile
- Good public transport connections
Weiterbildungsangebote
- Internal further training
- 600+ free courses
Mentoring & Coaching
- Coaching
Karriere- und Weiterentwicklung
- Advancement of women
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Scientific project assistant predoctoral(m/w/x)
Developing PhD project in mathematical statistics or machine learning for a major research university. Strong background in statistics and probability theory required. Flexible working hours, partial remote work.
Anforderungen
- Master's degree or diploma in statistics, mathematics, or related field
- Strong background in mathematical statistics and probability theory
- Enthusiasm for abstract mathematical problems
- Strong tenacity and patience in problem-solving
- Active interaction and discussion with colleagues
- Programming skills
- Didactic competences / e-learning experience
- Excellent written and spoken English (C1 Level)
Aufgaben
- Develop and complete PhD project in mathematical statistics or machine learning
- Finalize dissertation agreement within 12-18 months
- Participate regularly in PhD seminars
- Acquaint yourself with recent research areas
- Formulate and solve new mathematical problems
- Work under supervision of PhD advisor
- Handle administrative tasks in research
- Work on publications, academic articles, and presentations
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- e-learning
Benefits
Flexibles Arbeiten
- Flexible working hours
- Partial remote work
Lockere Unternehmenskultur
- International academic team
Sonstige Vorteile
- Healthy and fair working environment
- Equal opportunities
- Anti-discriminatory employment policy
- Diversity
Parkplatz & Pendelvorteile
- Good public transport connections
Weiterbildungsangebote
- Internal further training
- 600+ free courses
Mentoring & Coaching
- Coaching
Karriere- und Weiterentwicklung
- Advancement of women
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
University of Vienna
Branche
Education
Beschreibung
The University of Vienna engages in international cutting-edge research and teaching, fostering curiosity and excellence since 1365.
Noch nicht perfekt?
- Universität Wien
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TeilzeitBefristeter Vertragmit HomeofficeBerufserfahrenWienab 1.405,75 / Monat