PhD on “More Linguistics for More Generalisable and Explainable AI”
Offer DescriptionIn this position you will combine deep learning and linguistics to study two critical shortcomings of state-of-the-art AI systems in natural language understanding: explainability and generalisation. The position is part of the project “More Linguistics for More Generalizable and Explainable AI” (AI+Ling).Your job
We are seeking to hire a highly motivated, driven, and talented PhD candidate to carry out this project in a period of four years. The project will be carried out at the (ILS), Utrecht University.Today we are faced with AI systems that can use natural language to a remarkable degree and are already being deployed in various service sectors and real-life scenarios. Current state-of-the-art AI and Natural Language Processing systems are largely based on neural network based Large Language Models (LLMs). The size and content of their training text further amplify the well-known opacity of deep neural networks, and little is known about the extent of their knowledge and behaviour. Thus, one of the most pressing issues related to AI systems is related to explainability and generalisation.This PhD project will take a data-centric approach to the two challenges of explainability and generalisation associated with AI systems. One of the goals of the project will be to use innovative methods for the generation of adequate datasets for the evaluation of the natural language understanding capacity of AI systems, by capturing the complexities of semantic behaviour that are not represented in current evaluation methodologies. For instance, the project will design ways to (semi-)automatically and reliably recast existing benchmarks to make them suitable for evaluating the explainability and generalization capacity of AI systems on language understanding, as well as explore state-of-the-art neural architectures for adapting to new challenging semantic benchmarks.The tasks include:
RequirementsSpecific Requirements
Additional InformationBenefitsWe offer:
In addition to the laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating , leave schemes and schemes for , as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit .Selection processAs Utrecht University, we want to be a for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.To apply, please send your curriculum vitae, including a letter of motivation, copies of relevant diplomas and academic transcripts, your (draft) Master’s thesis and other relevant publications you can provide, names and full contact details of two academic referees.Additional commentsFor more information, please contact (Assistant Professor) at , or (Research coordinator ILS) at .Candidates for this vacancy will be recruited by Utrecht University. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Universiteit Utrecht Country Netherlands City Utrecht Postal Code 3512JK Street Trans 10 GeofieldWhere to apply WebsiteContact CityUtrecht WebsiteStreetDomplein 29 Postal Code3512 JESTATUS: EXPIRED
€2770 – 3539 per month
Utrecht
Fri, 26 Apr 2024 05:32:29 GMT
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