University Assistant Predoctoral, Computer Science

39 Faculty of Computer Science

Startdate: 01.02.2025 | Working hours: 30 | Collective bargaining agreement:

• 48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 3434
  
  

Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team!

Your Personal Sphere Of Influence

As a university assistant Praedoc, you will complement/complete the research team of Benjamin Roth and carry out tasks such as e.g. undertake research in the field of explainability for natural language processing and deep learning methods.

The focus of our research is in the area of natural language processing with deep learning methods, in particular their explainability and weak supervision.

The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration.

Your Future Tasks

You actively participate in research, teaching & administration, which means:

• You will participate in research projects and scientific studies in the area of natural language processing and explainability of AI methods.
• We expect you to finalize your dissertation agreement within 12-18 months.
• You are working on your dissertation and its completion.
• You hold courses independently within the scope of the collective agreement provisions.
• You will take on administrative tasks in research and teaching.
  
  

This Is Part Of Your Personality

• Completed master's/diploma degree in computer science or a related field of study
• Good knowledge of natural language processing and explainability methods
• Basic experience in academic writing and with research methods (e.g. publication or having worked in a research project)
• Knowledge of deep learning frameworks (e.g. PyTorch, Huggingface, Tensorflow)
• very good knowledge of English
• You are a team player with high social/communicative skills.
• Didactic skills / experience in e-learning is desirable
  
  

What We Offer

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 3578,80 (on a full-time basis) increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It Is That Easy To Apply

Apply with the following documents (via our job portal / Apply now button):

• With your academic CV,
• a letter of intent and a description of a possible dissertation topic (2-5 pages),
• degree certificate of completed master's/diploma studies
  
  

If You Have Any Questions, Please Contact

Benjamin Roth

[email protected]

We look forward to new personalities in our team!

The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

Application deadline: 12/29/2024

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