Job Detail

Research Staff Member / Post-doctoral researcher Natural language processing

Inseriert am: 22.01.2020

Research Staff Member / Post-doctoral researcher


Natural language processing


Ref. 2019_013


About the position


At IBM Research – Zurich, we are developing cognitive solutions for challenging NLP and text-mining problems on very large, domain-specific, unstructured text documents comprising a mixture of both human and machine-generated content.


The main focus will be to provide solutions to the challenges of interpretation, analysis, information extraction and search (both semantic and keyword based) over large amounts of unstructured text documents, as well as connecting structured and unstructured data. Therefore, knowledge of state-of-the-art NLP and text-mining methods as well as the ability, intelligence and creativity to modify them and advance beyond them are very important. Furthermore, experience in applying techniques for information extraction and harvesting knowledge from high-quality web sources in order to build and curate knowledge bases automatically is highly relevant.


Requirements



  • PhD in Computer Science, NLP, Machine Learning, Computational Linguistics or equivalent with a track record in NLP, machine learning and/or deep learning

  • Strong analytical and problem solving skills

  • Strong programming skills in Python/Java or similar

  • Ability to conduct independent research

  • Excellent communication and team skills

  • Familiarity with Keras, Tensorflow or PyTorch and Software engineering experience is a plus


Diversity


IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.


How to apply


If the above position fits your background, please send your complete CV, including a list of publications, to Dr. Anika Schumann.


Connect with us


Downloads



  • Overview presentation of IBM Research – Zurich Lab (7 MB)

  • IBM Research – Zurich Lab Fact Sheet (1.5 MB)

  • IBM’s Diversity brochure (168 KB)

Details