PhD candidate Neural Dialogue Modelling

You should hold, or expect to obtain before the start of your appointment, a Master’s degree in a relevant discipline, such as Computational Linguistics, Artificial Intelligence, Computer Science, or Cognitive Science. Candidates with an interdisciplinary background are particularly encouraged to apply. Furthermore, you should possess:

• an excellent academic track record;
• a serious interest in pursuing fundamental research of an interdisciplinary nature;
• good writing and presentation skills;
• good programming skills,
• good social and organisational skills;
• full professional proficiency in spoken and written English.

We are looking for a candidate who has the technical skills and the scientific interest to conduct cutting-edge research in Machine Learning that is directly informed by ideas from Linguistics and Psycholinguistics.

Please note that knowledge of the Dutch language is not required for this position nor is it required for being able to live in Amsterdam. However, PhD candidates at the ILLC have the opportunity to attend Dutch language classes if they wish.

Conditions

The successful candidate will be employed by the Faculty of Science at the University of Amsterdam on a fixed-term full-time position (38 hours per week).

The appointment is intended to be for a period of four years. The initial contract will be for 18 months which will be extended with a further 30 months after a positive evaluation.

The gross monthly salary amounts to €2,325 during the first year, rising to €2,972 during the fourth year and will be supplemented with an 8% holiday allowance and an 8.3% end-of-year bonus. The Collective Labour Agreement for Dutch Universities applies.

Starting date: 1 September 2019 or shortly thereafter.

Additional information

For informal inquiries regarding this position or the application procedure, you are welcome to contact:

• Raquel Fernández

Your application should include the following information (in one single PDF file):

• a cover letter, including a description of your research interests and an explanation for why you are applying for this position (at most two pages);
• a detailed CV;
• a list of all Master-level modules you have taken with an official transcript of grades;
• a link to a writing sample available online, such as a Master’s thesis, a term paper or a publication (in case of joint authorship, please clearly indicate your own contribution);
• the names, affiliations and email addresses of two or (at most) three people we can contact for letters of reference for you.

Please quote vacancy number 19-052 in your cover letter and submit your application no later than 25 February 2019 via this link. Please use the CV field to upload the PDF file specified above. Only applications that conform to these instructions are ensured full consideration by the search committee. In particular, please do not submit more than one file.