The University of Alberta, Sweden calls for application for Post-doc Researchers in Natural Language Processing and Language Learning in the Department of Computing Science, 2020.
The University of Alberta is committed to an equitable, diverse, and inclusive workforce. they welcome applications from all qualified persons. They encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.
The two projects below serve as examples of the types of research that will be conducting. Project work will be jointly selected based on the successful candidate’s skills and interests and the goals of the grant.
- Grammatical Error Detection and Intervention Based on Learner First Language
This project involves developing models to detect when a writer’s grammatical error is due to their incorrectly applying a rule from their first language to their second language (i.e., negative transfer).
- Semantic Representations During Language Acquisition and DevelopmentHow do infants and children model the semantics of their world? How do their representations change during development? Using brain imaging and behavioral studies, Candidates will study how the semantic space shifts and warps as different semantic dimensions are learned, or change in their relative importance.
Location: University of Alberta, Canada
Resumption date: As soon as possible
The post-doctoral appointee will work on activities related to the computational modeling stream of a large collaborative grant that aims to better understand language development, acquisition, and literacy.
He/she will work with Alona Fyshe and Carrie Demmans Epp on projects that relate to how language is represented, how language is used, and how people’s representation or use of language change over time.
Research may include:
- language modeling,
- deep learning, including training large models using GPUs
- possible analysis of neuroimaging data (e.g., fMRI or EEG).
Salary (commensurate with prior performance and experience) plus highly competitive incentives.
The candidate should meet the following requirements:
- Must have completed their Ph.D. before starting the position.
- They must have demonstrated expertise in machine learning and natural language processing (NLP).
- Have backgrounds in cognitive psychology, language acquisition, bilingual language, and literacy, among others, are advantageous.
- In addition to English, proficiency in one of the below languages or language families will be considered an asset but is not required
- Algonquin languages (e.g., Cree)
Interested applicants should submit to firstname.lastname@example.org the documents listed below:
- A cover letter,
- Curriculum Vitae,
- A one-page research statement, and
- Two to three references
Application Deadline: November 15, 2020
For more information and application, visit the official site