PhD Scholarships in Continuous-time Models for Machine Learning
We are looking for two highly motivated PhD candidates with interests in continuous-time models, machine learning and optimization. The ideal candidates will have a strong MSc degree in computer science, mathematics or control engineering. The PhD scholarships are for three years and come with a competitive salary and a light teaching load.
Topic and qualifications: The envisaged research will focus on efficient analysis of continuous-time models by means of dimensionality/model reduction. The candidates are therefore required to demonstrate a strong background and understanding in at least one of the following areas:
Continuous-time models such as Markov chains and differential equations
Mathematical optimization and dimensionality/model reduction
Scientific computing and software development
The envisaged starting date is October 2021, application deadline is the 6th of August. Fluent written and verbal communication skills in English are required. Knowledge of Danish is not compulsory.
Application and contact information: The applicants must have obtained a Master degree before the appointment day. In addition to an academic CV and 2-3 reference letters, the applicants should provide a short cover letter which describes their background, research interests and initial thoughts and ideas. Further information can be obtained at the application portal:
Host institution: The candidates will be supervised by Max Tschaikowski and join the DEIS group of Kim G. Larsen, the 3rd most cited Danish computer scientist. The Computer Science Department at Aalborg University takes a leading international position within data management and quantitative modelling. Aalborg is a vibrant student city at the Limfjord and has an international airport with direct flights to Copenhagen and Amsterdam. Denmark took the top spot on the United Nation's World Happiness Report, 2013 & 2014 & 2016 and came in third in the 2015 report: http://www.https://www.visitdenmark.com/