Researcher in Natural Language Processing/Data science
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Researcher in Natural Language Processing/Data science

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Researcher in Pure Language Processing/Information science

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The place focus: identification of lexical semantic change utilizing computational fashions utilized to diachronic texts

Språkbanken (SB) is a nationally and internationally acknowledged with unit on the Division of Swedish, College of Gothenburg, established in 1975. Our work focuses on Language Expertise (LT), Pure Language Processing (NLP), and computational linguistics (CL), primarily for the Swedish language, and the event of linguistic assets and instruments Swedish. SB is the coordinating accomplice of the analysis undertaking “In the direction of computational lexical semantic change detection” (a undertaking funded by a grant from the Swedish Analysis Council). The profitable applicant will conduct analysis on this undertaking, extra info relating to the undertaking could be discovered on www.languagechange.org. The analysis shall be carried out in collaboration with researchers from Chalmers College of Expertise and Stockholm College.

Job assignments

The profitable applicant will conduct analysis in NLP/knowledge science as a way to develop and implement strategies for processing, detecting, and evaluating lexical semantic change utilizing diachronic texts. Particularly, you can be utilizing machine studying, deep studying, and subject modeling, to routinely detect semantic change utilizing massive collections of historic texts. You’ll consider your outcomes on English and Swedish doc collections, on analysis units like SemEval-tasks for phrase sense induction, unsupervised semantic change detection, and different current change testsets. Additionally, you will use the developed fashions to analyze qualitative hypotheses posted by researchers from historical past, linguistics, and social sciences. We collaborate by common conferences through which you’ll take an energetic half within the discussions and current outcomes. Your work contributes to scientific progress which is introduced in collectively revealed journal papers, in addition to nationwide and worldwide conferences.

{Qualifications}

We’re looking for a candidate who on a private degree is impartial and self-motivated. The candidate ought to have expertise with lexical semantic change detection, and/or analysis, with historic large-scale knowledge (together with processing of soiled texts with OCR errors), and knowledge science investigations into large-scale knowledge. Earlier expertise with historic linguistics is a plus. Proof of analysis and scientific writing abilities have to be supplied with the applying (i.e. within the type of CV and related publications). At minimal, the candidate should possess a PhD diploma in a related subject, like historic linguistics with a deal with computational modeling, info science, language know-how, or laptop science with a powerful deal with NLP. A documented file of labor carried out within the subject of lexical semantic change detection, and/or analysis, is required. The diploma ought to typically to not be older than 6 years on the time of software.

Evaluation

The evaluation of your software shall be based mostly primarily in your scientific abilities. You’re anticipated to supply proof of excellence in analysis. Within the evaluation of scientific proficiency, particular consideration shall be paid to your related NLP/knowledge science work with lexical semantic change detection and/or analysis. The principle concerns in rating candidates shall be high quality of their scientific observe file and the way central earlier analysis is to the analysis questions outlined by the undertaking. Wonderful abilities relating to scientific communication in English, the excessive diploma of independence, and important pondering are additionally anticipated. As well as, a excessive weight shall be given to earlier expertise with deep studying strategies, similar to skip-gram with unfavourable sampling, and BERT, in addition to subject modeling, all utilized to historic knowledge.

The work requires that you’re extremely impartial. Giant weight shall be given to non-public abilities similar to:

  • Being versatile and adaptable to altering circumstances.
  • Being accountable, working in a structured method, and following time plans.
  • Taking initiative, and getting began and producing outcomes.
  • Being good at speaking analysis and outcomes such that different individuals perceive, each laymen and researchers from different fields.

Employment

The employment is a hard and fast time period employment of 40 %, with placement on the Division of Swedish. First day of employment: 2022-01-08 and final day of employment: 2022-05-19

For additional info relating to the place

In case you have questions relating to the place, please contact: Nina Tahmasebi, researcher.

E-mail: Nina.Tahmasebi@gu.se

Unions

Union representatives on the College of Gothenburg:
https://www.gu.se/en/about-the-university/work-at-the-university-of-gothenburg/how-to-apply

Info for Worldwide Candidates

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https://www.gu.se/en/about-the-university/welcome-services
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How you can apply

To be able to apply for a place on the College of Gothenburg, it’s important to register an account in our on-line recruitment system. It’s the accountability of the applicant to make sure that the applying is full in accordance with the directions within the job commercial, and that it’s submitted earlier than the deadline. The collection of candidates is made on the idea of the {qualifications} registered within the software.

Deadline: 2021-10-14

The College of Gothenburg promotes equal alternatives, equality and variety.

Wage is set on a person foundation.

Functions shall be destroyed or returned (upon request) two years after the choice of employment has grow to be last. Functions from the employed and from those that enchantment the choice is not going to be returned.

In connection to this recruitment, we now have already determined which recruitment channels we must always use. We subsequently decline additional contact with distributors, recruitment and staffing firms.

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