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Name: 13 PhD positions in knowledge-driven machine learning
Field: Mathematical Sciences and Machine Learning
Level: PhD
Job description
Job description
Integreat, the Norwegian center for knowledge-driven machine learning, is seeking to recruit a group of fulltime PhD students at the University of Oslo and the UiT The Arctic University of Norway for thirteen cross-disciplinary projects across machine learning, statistics, logic, language technology and ethics. All 13 projects are ambitious, timely, and contributing to a new foundation of machine learning.
Detailed descriptions of the projects.
Applicants must select and rank up to five projects of interest to them in the application.
Working language: English.
Applicants are required to review general qualification requirements, project specific requirements, and PhD programme admissions requirements before applying.
PhD projects
PhD projects
Available PhD projects are listed below. Links include a scientific description, the team of supervisors and specific qualification requirements.
Project 1: Statistical models and logic: handling inconsistencies
Employment: University of Oslo, Department of Mathematics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 2: Sparse models for machine learning from a Bayesian viewpoint
Employment: University of Oslo, Department of Mathematics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 3: Developing novel information theoretic discrepancy measures
Employment: UiT - The Arctic University of Norway, Department of Physics and Technology
PhD programme: UiT - The Arctic University of Norway, Faculty of Science and Technology
Project 4: Exploration and control of the inner representation in generative AI models
Employment: UiT -The Arctic University of Norway, Department of Physics and Technology
PhD programme: UiT -The Arctic University of Norway, Faculty of Science and Technology
Project 5: Structure-generating models for transition metal complexes
Employment: University of Oslo, Department of Mathematics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 6: Benchmarking ethical reasoning in Large Language Models
Employment: University of Oslo, Department of Informatics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 7: Discrepancy measures and accelerated likelihood-free inference for simulator-based models
Employment: University of Oslo, Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences
PhD programme: University of Oslo, Faculty of Medicine
Project 8: Knowledge and bias extraction from Large Language Models
Employment: University of Oslo, Department of Informatics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 9: Embedded sufficient statistics
Employment: University of Oslo, Department of Informatics
PhD programme: University of Oslo, Faculty of Mathematics and Natural Sciences
Project 10: Multi-modal data integration for personalized treatment recommendations
Employment: University of Oslo, Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences
PhD programme: University of Oslo, Faculty of Medicine
Project 11: Learning differential models (and other logic rules) from data with uncertainty
Employment: University of Oslo, Oslo Centre for Biostatistics and Epidemiology, Institute of Basic Medical Sciences
PhD programme: University of Oslo, Faculty of Medicine
Employment: Bosch Centre for Artificial Intelligence, Germany
PhD programme: University of Oslo, Department of Mathematics, Faculty of Mathematics and Natural Sciences
Project 13: Uncertainty quantification in the presence of logical constraints
Employment: Bosch Centre for Artificial Intelligence, Germany
PhD programme: University of Oslo, Department of Informatics, Faculty of Mathematics and Natural Sciences
Required qualifications for all applicants:
Obtained a master's degree (total 120 ECTS) or currently working on finalising their master thesis (at least 30 ECTS) in an area relevant to Integreat, or a foreign degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
Candidates without a master’s degree must complete the final exam of their master studies by 30 June 2024.
Research interest in knowledge-driven machine learning, in at least one of its contributing fields of statistics, logic, language technologies, ethics, or machine learning.
Excellent oral and written skills in English.
Project specific requirements:
Each project has specific requirements, in addition to the general ones stated above. These are obligatory. Review project specific requirements in the detailed descriptions of the projects.
The application must include:
SURNAME-Pdf-1: CV
Summarising education, positions, name of supervisors and relevant academic work – list of relevant scientific publications (if any).
SURNAME-Pdf-2: Cover letter
a) include the ranked list of PhD projects of interest among the ones listed here (not more than five)
b) state reasons and motivations for pursuing a PhD at Integreat;
c) describe relevant scientific competences and experiences, research interests, and future career objectives.
SURNAME-Pdf-3: Your master’s thesis/ draft version or parts of the master’s thesis (link or pdf) if available.
If you are in the finalising phase of completion of your master's degree, you may still apply and submit a draft version of your thesis with a statement from yourself or from your supervisor or institution indicating when the degree is expected to be obtained. Obtained master’s degree is required before commencement in the position.
SURNAME-Pdf-4: List of 2-3 references (at least one of them in a supervising position).
SURNAME-Pdf-5: Copies of official transcript of grades for all bachelor’s and master’s courses.
These should also include full course titles. If you have not finished your master, you must submit your current transcripts for the courses taken in your master study.
SURNAME-Pdf-6:
Copy of diploma for bachelor's degree
Copy of diploma for master's degree (if already obtained).
SURNAME-Pdf-7: Documentation of English proficiency
For University of Oslo projects: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8
For UiT The Arctic University of Norway positions: https://www.samordnaopptak.no/info/english/language-requirements/
Funding:
Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow.
A unique research environment with multiple opportunities to develop research themes at the forefront of modern science.
A friendly professional and stimulating international working environment.
Access to a network of top-level national and international collaborators.
Full access to public health services through membership of the National Insurance Scheme.
A vibrant international academic environment.
Career development programmes at the faculties and individual professional plan for the full duration of the doctoral research period.
Research mobility funds for shorter stays.
Deadline: 4th March 2024
Link to Apply: 13 PhD positions in knowledge-driven machine learning
(PS: Please note that these position are NOT offered by Maths Volunteers. Maths Volunteers collect these positions voluntarily for the easy access of students.)
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