项目介绍
PhD Research Fellow in Structured Vision-Language Models
About the position
Integreat – the Norwegian Centre for Knowledge-driven Machine Learning is seeking a motivated PhD candidate to join our interdisciplinary research centre at the University of Oslo, Norway.
You will be part of a dynamic group of early career researchers, supervised by senior experts, collaborating across disciplines to tackle fundamental challenges through innovative methods, theory and critical analysis.
The fellowship period is 3 years.
A fourth year may be considered, and it will involve 25 % of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualifications of the applicant and the current needs of the Department of Informatics
Starting date from January 2027 and upon individual agreement thereafter.
A candidate may be appointed to only one PhD Research Fellowship at the University of Oslo.
About Integreat
Integreat – Norwegian Centre for Knowledge-driven Machine Learning is a Centre of Excellence, funded by the Research Council of Norway (2023-33). Integreat has two branches, one in Oslo (University of Oslo, UiO) and one in Tromsø (UiT The Arctic University of Norway).
Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways.
Focus of Integreat is to develop groundbreaking methods and theories, and therefore solving fundamental problems in science, technology, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science.
- develop superpixel-based panoptic segmentation models built on modern transformer architectures
- design methods that predict relations between segmented regions and generate panoptic scene graphs
- fuse scene graphs with LLMs for visual question answering and grounded reasoning, including graph visual RAG
- publish and present your results at leading machine learning and computer vision venues
via Unsplash
- Master’s degree or equivalent in computer science, machine learning, data science, mathematics, statistics, electrical engineering, or a related field. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
- Experience in scientific programming.
Personal skills
We are looking for candidates who are curious, motivated to learn, and interested in tackling challenging scientific questions. You should be able to work independently while also contributing actively to collaborative research activities and the broader research community.
Integreat brings together researchers from different disciplines, institutions, and career stages. We value openness to new perspectives, effective communication, and a willingness to engage across disciplinary boundaries. We are looking for candidates who contribute positively to a supportive, inclusive, and respectful research environment.
Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.
We need different perspectives in our work
Integreat is committed to equity, diversity, inclusion, and belonging, guided by our INTEGREAT principles (Integrity, Non discrimination, Tact, Environment, Gratitude, Respect, Empathy, Accountability, Transparency). We embed these values in practice through inclusive hiring and structured evaluations, targeted mentoring and career development, and flexible work arrangements and accommodations to ensure everyone can thrive and contribute.
We particularly welcome applications from women and gender minorities who are underrepresented in STEM, as well as applicants with immigrant backgrounds, disabilities, non linear career paths, or career breaks. We will take career interruptions and diverse career trajectories into account during evaluation.
If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports.
More information about gender equality initiatives at UiO can be found here.
- Salary in position as PhD Research Fellow, position code 1017 in salary range NOK 550 800 – 595 000, depending on competence and experience. From the salary, 2% is deducted in statutory contributions to the State Pension Fund
- A unique research environment with multiple opportunities to develop research themes at the forefront of modern science
- A friendly, inclusive, and collaborative international working environment that values diverse perspectives
- Access to a strong network of top-level national and international collaborators
- A reliable and generous pension agreement, along with strong public benefits
- Comprehensive welfare schemes supporting both personal and professional well-being
- Full access to public health services through membership in the National Insurance Scheme
- A vibrant academic environment with an active and supportive research community
- Structured career development programmes at the faculty level and an individual professional development plan throughout the postdoctoral period
- Mentoring and support structures tailored to early-career researchers
- Flexible working conditions, with understanding for different life situations and family responsibilities
- Research mobility funds supporting short research stays and international collaboration
- Family-friendly surroundings in Oslo and Tromsø, with rich opportunities for culture, nature, and outdoor activities
- A clear institutional commitment to gender equality and diversity, with dedicated initiatives and networks for women in science
via Unsplash
- Cover letter – describe your motivation for pursuing a PhD at Integreat and in Norway, with particular emphasis on your research interests and academic achievements to date relevant for this position and the project
- CV (summarizing education, positions and academic work – scientific publications)
- Copies of the original bachelor’s and master’s degree diploma, and transcripts of records
- Documentation of English proficiency when required
- List of publications and academic work that the applicant wishes to be considered by the evaluation committee, if any
- The master thesis or at least some finished chapters of the master thesis
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
General information
The best qualified candidates will invited for interviews.
Please note that we are unable to add documentation after the application deadline. As the deadline applies equally to all applicants, this policy ensures equal treatment throughout the recruitment process. If you experience difficulties uploading documents in Jobbnorge, please contact their customer service: Phone: +47 75 54 22 20 or Email: support@grade.com
The University of Oslo has a transfer agreement with all employees to secure the rights to all research results and related intellectual property.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to recruitment positions at UiO and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us.
via Unsplash
University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500 students and 7 200 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
Integreat – Norwegian Centre for Knowledge-driven Machine Learning – Integreat is a Centre of Excellence, funded by the Research council of Norway. Integreat has two branches, one in Oslo (University of Oslo, UiO) and one in Tromsø (UiT The Arctic University of Norway). Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world.
Integreat develops theories, methods, models and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. This will be done by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technologies, ethics and machine learning, in new and unique ways.
Focus of Integreat is to develop ground-breaking methods and theories, and by this solving fundamental problems in science, technology, health and society. Integreat draws on the research strengths of researchers and students from the departments of Mathematics, Informatics, Philosophy, and the Oslo Centre for Biostatistics and Epidemiology at UiO, the Norwegian Computing Centre (NR) and the ML group at UiT, with members from the departments of Physics and Technology, Mathematics and Statistics, and Computer Science.
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联系方式
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