The Pioneer Centre for AI and the Department of Computer Science at the University of Copenhagen invite applications for a fully-funded PhD position.
The project
For many critical applications of machine learning (ML), accurate uncertainty estimates are required. We need methods that give us uncertainty estimates for state-of-the-art ML models (e.g., deep neural networks), are well calibrated, and come with theoretical guarantees.
This project is about developing such methods. Possible theoretical approaches include PAC-Bayesian analysis (in particular for unbounded loss functions) and conformal prediction. Interesting directions are the analysis of quantile regression, Bayesian modeling and ensemble predictions.
Goals include deriving prediction intervals for non-linear regression models under heteroskedastic noise and the application of novel uncertainty estimation techniques to ecosystem/climate modeling.
The main focus can be tailored to the applicant's profile and interests and discussed at a later stage of the interview process.
The project will be jointly supervised by Christian Igel (Professor, University of Copenhagen, Department of Computer Science), email: [email protected] and another researcher in the Pioneer Centre for AI's Learning and Optimization Collaboratory, depending on the final PhD project description.
The research environment
The candidate will be a member of the Pioneer Centre for Artificial Intelligence, a 5-university Danish research endeavor, and the Department of Computer Science at the University of Copenhagen. Both the centre and department are highly international and well-funded, working on a broad range of fundamental research topics. PhD students have access to funding for travel, guests, conferences and courses. The Pioneer Centre for AI and the Department of Computer Science maintain computing clusters and support for access to international facilities as needed.
We offer creative and stimulating working conditions and significant freedom in a dynamic and international research environment. Copenhagen is a vibrant city, with many cultural offerings and easy access to the rest of Europe.
For more information about working in Denmark, consult International Staff Mobility or write to Michelle Løkkegaard, Chief Operating Officer at the Pioneer Centre for AI, [email protected].
Who are we looking for?
We are looking for candidates with knowledge and interest in the field(s) Machine Learning, Mathematical Modelling, Statistics. The project combines ideas from statistical causal modelling, graphical models, and analysis and implementation of efficient graphical algorithms. The main focus can be tailored to the applicant's profile and interests and discussed at a later stage of the interview process.
General qualifications
The PhD programme
To be eligible for the PhD programme, you must have completed a degree programme, equivalent to a Danish master's degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Computer Science or a related field.
For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.
Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The terms of employment and salary are in accordance with the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Responsibilities and tasks in the PhD programme
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include:
Application deadline
The deadline for applications is 22 March 2024, 23:59 GMT +1.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https: // employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held toward the end of April/early May.
Questions
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School's website: https: // www. science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
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