The Language Technology Lab at the Informatics Institute of the University of Amsterdam invites applications for a fully-funded Ph.D. candidate position in machine learning for natural language processing.
Candidates will work under the supervision of Dr. Vlad Niculae to investigate and improve the modeling of complex natural language phenomena through the lens of machine learning.
Phenomena of interest include discourse and argumentation structures, conversation modeling, coreference, syntactic and semantic structure, multilingual.
They will rely on a selection of techniques from areas like optimization, sparsity, structured prediction, probabilistic modeling, and geometry, in order to explore hypotheses about language and build better fitting and more scrutable models with fewer resources required putting first the social and political impact of the technology they develop.
Location: University of Amsterdam
Duration: 4 years
Successful candidates will perform the following task
- design and perform controlled experiments to gain modeling insight and answer computational linguistic research questions;
- innovate techniques for representing and modeling language phenomena, pushing boundaries in expressiveness and efficiency;
- get comfortable and confident with optimization and ML algorithms and implementation, beyond deep learning;
- complete and defend their Ph.D. thesis;
- become active in the research community and collaborate within and outside the Informatics Institute;
- publish and present work regularly at international conferences, workshops, and journals;
- assist in teaching activities (labs/tutorials) and in supervising bachelor and master students.
€2,395 to €3,061 gross salary per month
holiday allowance and a year-end bonus
Candidates should meet the following requirements:
- Master’s degree (completed or near completion: see below) in a relevant discipline, such as computer science, computational linguistics, information science, or similar;
- a serious interest in pursuing fundamental research;
- fluency in both spoken and written English;
- commitment to maintaining an inclusive, collaborative, diverse, supportive work environment
- candidates with an interdisciplinary background, especially linguistics and/or humanities are encouraged to apply.
Applications in .pdf should include:
- Curriculum Vitae;
- a motivation letter;
- a link to their Master’s thesis, internship report, or similar;
- an (unofficial) transcript or list/summary of their relevant Bachelor and Master courses, attaching any clarifying notes they see fit.
Application Deadline: November 19, 2020.
For more information and application, visit the official site.