The OntoGene/BioMEXT group at the Institute of Computational Linguistics at the University of Zurich is looking for a junior Postdoc researcher for research activities related to several projects in the area of information extraction from biomedical text:

• SwissMade
• MedMon
• VetMine
• MelanoBase
  

Despite the fact that the these projects deal with biomedical topics, our activities are primarily in the text mining area, therefore the essential competences required are in Computational Linguistics and Machine Learning.

Qualifications:

• PhD in Computational Linguistics, Computer Science or a related field
  
• Languages: good command of English
  
• Good programming skills, and proven expertise in Python
• Experience with Information Extraction and Text Mining 
• Experience with machine learning approaches
  

Other desirable but not essential characteristics are:

• experience with deep-learning frameworks (e.g. TensorFlow)
• experience with front-end web-based applications, in particular modern javascript frameworks/libraries (e.g. REACT, ANGULAR)
• an interest for the biomedical domain
  

Only in exceptional cases, candidates with a master level qualification (and some experience) could be considered. Candidates at this level might be offered the possibility to enlist as a PhD student.

Benefits:

• Internationally competitive salary
• Support for conference and summer school attendance
• High standard of living in one of the most attractive European cities: Zurich
  

The projects also offer opportunities of contacts with other academic and industrial partners, thus potentially opening up opportunities for follow-up activities.

The position can be filled immediately and has secured funding for at least two years. The level of employment can vary between 50% and 100%, depending on the qualifications of the candidate.

Please send (by email) your CV, your academic record and a short statement of interest to Dr. Fabio Rinaldi at the email address below. 

Application Deadline: 21 January 2018

Contact for Applications and Information:

Dr Fabio Rinaldi, fabio@ontogene.org