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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.
Requirements
- 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)
Tasks
- 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
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- e-learning
Benefits
Flexible Working
- Flexible working hours
- Partial remote work
Informal Culture
- International academic team
Other Benefits
- Healthy and fair working environment
- Equal opportunities
- Anti-discriminatory employment policy
- Diversity
Parking & Commuter Benefits
- Good public transport connections
Learning & Development
- Internal further training
- 600+ free courses
Mentorship & Coaching
- Coaching
Career Advancement
- 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.
Requirements
- 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)
Tasks
- 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
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- e-learning
Benefits
Flexible Working
- Flexible working hours
- Partial remote work
Informal Culture
- International academic team
Other Benefits
- Healthy and fair working environment
- Equal opportunities
- Anti-discriminatory employment policy
- Diversity
Parking & Commuter Benefits
- Good public transport connections
Learning & Development
- Internal further training
- 600+ free courses
Mentorship & Coaching
- Coaching
Career Advancement
- Advancement of women
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
University of Vienna
Industry
Education
Description
The University of Vienna engages in international cutting-edge research and teaching, fostering curiosity and excellence since 1365.
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