Overview
You will conduct research in natural language processing, with a focus on large language models (LLMs) in one or more of the active areas of the NLP Group. Possible directions include privacy-preserving learning, explainability & interpretability, reasoning & agentic AI, domain transfer & specialization, and resource-efficient methods. Your research may involve both developing novel and generalizable NLP methods and investigating the limitations of current LLMs, particularly with respect to privacy, reliability, and transparency. You will also explore impactful applications in healthcare, law, and/or education – domains where NLP can provide significant societal benefit.
The position offers ample opportunity for interdisciplinary collaboration with both NLP researchers and domain experts. Together, we aim to advance the responsible and trustworthy use of LLMs in critical real-world contexts. The precise research focus will be shaped collaboratively between you and your supervisors, allowing flexibility to pursue areas aligned with your interests and emerging developments in the field.
In addition to a competitive salary and wellness benefits, you will receive strong support for your academic development, including funding for books, conference travel, and professional growth opportunities. You will join a dynamic research environment with access to international networks, collaborative projects, and mentoring throughout your PhD journey.
Company:
University of Stockholm
Qualifications:
In order to be admitted to postgraduate education, the applicant must have the general and specific entry requirements. The qualification requirements must be met by the deadline for applications.
You meet general entry requirements if you have completed a second-cycle degree, or completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
Specific entry requirements are described in the general syllabus for doctoral studies in the field of Computer and Systems Sciences and state that the applicant must have completed courses at second- cycle level in Computer and Systems Sciences with a minimum of 60 higher education credits, or equivalent, including a thesis with a minimum of 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.
Educational level:
Master Degree
Level of experience (years):
Mid Career (2+ years of experience)
