PhD position in Large Language Models for Knowledge Harvesting, Sharing, and Management
Offer DescriptionKnowledge is a vital asset for individuals, organizations, institutions, and society. Large Language Models (LLMs) have the potential to revolutionize how knowledge is generated, shared and managed by automating the extraction of relevant information from vast amounts of unstructured data, synthesizing it into coherent narratives, and injecting it in multimodal user interactions. Recent advances, such as Retrieval Augmented Generation (RAG), enable LLMs to parse through extensive documents, identify key points, and summarize content, rendering the information more accessible and comprehensible for users. Through dialectic techniques, LLMs can facilitate (tacit) knowledge extraction from expert users and instrument knowledge sharing with novice ones. LLMs can also be fine-tuned to categorize, tag, and retrieve information, responding to queries with relevant documents or even specific text passages. Using an intermediate layer, LLMs can translate natural language querries into a compatible format for popular databases (e.g., MySQL, Neo4j) thus expanding existing knowledge bases. By enabling more efficient search and discovery processes, LLMs help maintain an organized and dynamic knowledge base, supporting continuous learning and decision-making within organizations and beyond. This PhD research will also investigate the technical and algorithmic challenges involved in information retrieval techniques beyond RAG. This research will seek to answer the following Research Questions (RQs):
The successful candidate will design, develop, and evaluate LLM-powered prototypes with the aim to discover, harvest, share and manage knowledge in a context-agnostic fashion. Novel LLM-powered prototypes will be deployed in real-life contexts that encompass creativity and design, healthcare, manufacturing, energy and others to showcase (societal) impact. The successful candidate will be based at TU Delft and will have the chance to work with partners across TU Delft (e.g., Faculty of EEMCS & 3ME), beyond TU Delft (e.g., Erasmus MC, Leiden University), as well as with international and industrial project partners (e.g., Ortec B.V.).RequirementsSpecific RequirementsBasic Requirements (must-have):
Additional Requirements (highly desirable):
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the .Additional InformationBenefitsDoctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining years assuming everything goes well and performance requirements are met.Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.For international applicants, TU Delft has the . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a for partners and they organise events to expand your (social) network.Selection processAre you interested in this vacancy? Please apply before 27 March 2024 via the application button and upload your motivation and CV.
For information about the application procedure, please contact Annick Verboon, HR secretary ( )Additional commentsAre you interested in this vacancy? Please apply before March 27 via the application button. Applicants should submit (1) their updated CV outlining their qualifications and FULL contact details for THREE referees including their role in connection to the candidate (e.g., MSc thesis supervisor), (2) a motivation letter describing why they are a good fit for this position, and (3) ONE sample of scientific manuscript (published paper or MSc thesis). For more information about this vacancy please contact Dr. Evangelos Niforatos ( ), Assistant Professor in AI-Powered Human Augmentation Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Delft University of Technology Country Netherlands City Delft Postal Code 2628 CD Street Mekelweg 2 GeofieldWhere to apply WebsiteContact CityDelft WebsiteStreetMekelweg 2 Postal Code2628 CDSTATUS: EXPIRED
€2770 per month
Delft, Zuid-Holland
Sat, 06 Apr 2024 02:13:59 GMT
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