The
Multimedia Information Systems Research Group at the University of
Vienna is seeking to recruit a Research Assistant in the field of
multimedia retrieval.
You will work on project funded by the Vienna Science and Technology Fund (WWTF) and focused on video mining in media repositories. The main objective of the project is the detection of unusual and, thus, potentially interesting sequences in large video collections. Core components include dynamic feature selection, multimodal sequence representation, and data mining and clustering. Candidates should be qualified for and willing to perform state-Âof-the-art research, and to acquire a PhD degree in the above topics.
You should have excellent communication and social skills since you will be working in a small dynamic and inter-university team as well as conducting research independently. You are expected to collaborate on publications with other members of the project team with the aim of publishing in top tier international journals and conferences in the field of multimedia retrieval. We offer a great working atmosphere as well as remuneration according to the collective bargaining agreement §48 VwGr. B1 (praedoc), 30hours/week for an initial period of 2.5 years.
The University of Vienna is an equal opportunity employer actively committed to ensuring diversity in all campus employment.
Minimum requirement profile
� Outstanding Master or Diploma thesis in Computer Science or related field
Ââ€� Experience in visual-based media analysis and retrieval
� German and English language skills
Your application should include the following documents (preferably as one PDF document)
Ââ€� Letter of intent
Ââ€� Scientific CV
Ââ€� Abstract of Master’s thesis
Ââ€� Certificates
Ââ€� List of publications (if available)
Ââ€� References (if available)
Application deadline: February 20th, 2013
Contact: Dr. Maia Zaharieva (maia.zaharieva at univie.ac.at)
Further Information You will work on project funded by the Vienna Science and Technology Fund (WWTF) and focused on video mining in media repositories. The main objective of the project is the detection of unusual and, thus, potentially interesting sequences in large video collections. Core components include dynamic feature selection, multimodal sequence representation, and data mining and clustering. Candidates should be qualified for and willing to perform state-Âof-the-art research, and to acquire a PhD degree in the above topics.
You should have excellent communication and social skills since you will be working in a small dynamic and inter-university team as well as conducting research independently. You are expected to collaborate on publications with other members of the project team with the aim of publishing in top tier international journals and conferences in the field of multimedia retrieval. We offer a great working atmosphere as well as remuneration according to the collective bargaining agreement §48 VwGr. B1 (praedoc), 30hours/week for an initial period of 2.5 years.
The University of Vienna is an equal opportunity employer actively committed to ensuring diversity in all campus employment.
Minimum requirement profile
� Outstanding Master or Diploma thesis in Computer Science or related field
Ââ€� Experience in visual-based media analysis and retrieval
� German and English language skills
Your application should include the following documents (preferably as one PDF document)
Ââ€� Letter of intent
Ââ€� Scientific CV
Ââ€� Abstract of Master’s thesis
Ââ€� Certificates
Ââ€� List of publications (if available)
Ââ€� References (if available)
Application deadline: February 20th, 2013
Contact: Dr. Maia Zaharieva (maia.zaharieva at univie.ac.at)
Application Deadline : 20 February 2013
