A two-year postdoctoral position is available at the Computer Science Department at the IT University of Copenhagen. The postdoc project takes place within a recently granted Amazon Research Award. The candidate will focus on cutting-edge research on using deep learning to tackle one of the most fundamental open challenges in natural language understanding: the inability of current models to generalize under adverse conditions. This problem implies that current technology dreadfully fails when annotated data is very limited or entirely absent. The candidate will focus on transfer learning for natural language processing using multi-task multilingual learning to scale NLP across diverse domains and languages.
We are looking for a candidate with a PhD in computer science, computational linguistics, mathematics or similar. The ideal candidate would have:
- Experience with any of the core topics of transfer learning: domain adaptation, cross-lingual and multilingual learning, multi-task learning, learning from weak supervision, semi-supervised learning, low-resource languages, meta-learning.
- Background in machine learning or deep learning, and experience in natural language processing or natural language understanding.
Yet, we know there is no such thing as “the ideal candidate”. If you are not sure whether you qualify: Most likely, YOU DO. Please, do apply since our field is in need of more diversity and interdisciplinary approaches. In other words:
- If you are into computer vision, speech processing, machine translation, or another field of applied machine learning, you are still very welcome to apply.
- Just as long as you are interested to contribute solving some of the fundamental problems in NLP research, we would love to see your application!
The project is supervised by associate professor Barbara Plank (https://bplank.github.io) in collaboration with associate professor Željko Agić (http://zeljkoagic.github.io). The project involves active collaboration with the Alexa AI team at the Amazon Development Center Aachen, Germany. We also collaborate with leading NLP researchers at institutes across the globe.
At the IT University you will be anchored within the Natural Language Processing Group (http://nlp.itu.dk) at the Computer Science Department. The group focuses on challenging problems in natural language processing, such as transfer learning for NLP, domain adaptation, multilingual and low-resource processing, algorithms for NLP, dependency parsing, and social media analytics. Beyond the benefits of working in a vibrant group and contributing to top research, you will also enjoy living in a beautiful city, with a very competitive salary, where applicants from abroad may benefit from tax reductions. The IT University is committed to increasing the diversity of its staff. Current members of the Computer Science department come from a diverse set of 15 countries. We strongly encourage applicants from underrepresented groups.
General information The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 70 full-time Faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialisation of IT.
Salary is paid in accordance with the Ministry of Finance’s agreement with the Danish Confederation of Professional Associations (AC). The position includes e.g. fulltime postdoc salary, health insurance, paid vacation, pension, a budget for attending conferences and project-related travel.
The application must be in English and must include:
- A motivated application, including a cogent argument for how qualified you are for the position and brief statements of research plans.
- A full CV, including name, address, phone number, e-mail, previous and present employment and academic background.
- Documentation of academic degrees (copy of degree certificates etc.).
- Copies of max. 2 different publications you wish the evaluation committee to consider.
- A numbered list of publications. The enclosed publications should be marked with an asterisk (*).
The applicant will be assessed according to the Appointment Order from the Ministry of Science, Technology and Innovation of 25 April 2008. Please note that all application material will be destroyed after the assessment.
You can only apply for this position through our e-recruitment system. Apply by pushing the button “Apply for position” in the job announcement on our website: http://en.itu.dk/About-ITU/Vacancies Early contact regarding the application is encouraged. Questions about the positions can be directed to Associate Professor Barbara Plank, phone +45 7218 5274; email: firstname.lastname@example.org Questions related to the application procedure can be directed to HR Consultant, Sara Toft at email@example.com or +45 7218 5130.
The IT University may use shortlisting in connection to the recruitment process. In case of shortlisting, the Head of department selects applicants for assessment on the advice of the hiring committee after the application deadline. All applicants are notified whether their application has been passed for assessment. The shortlisting of candidates for assessment is based on the criteria in the job posting.
The IT University uses tests in connection with the recruitment process.
The position should be filled preferably not later than April 15, 2019. The expected duration is 24 month. The duration and starting time are negotiable.
Application deadline: 15 March 2019, at 23:59 CET.
Applications/enclosures received at ITU after the application deadline will not be taken into consideration. If you submit an application, it is your responsibility to ensure that it arrives before the deadline so please allow sufficient time for upload of publications and other documents.
The IT University invites all qualified researchers regardless of age, gender, religious affiliation or ethnic background to apply for the positions.
Post expires on Friday March 15th, 2019