115 computer-algorithm-"Prof"-"Prof"-"Prof" positions at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
-
November 1, 2025, or in according to mutual agreement. The assistant professor position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more
-
Development and Demonstration Programme. The position is affiliated with the Section for Mechanical Technology and will be under the supervision of Associate Professor Jonas Sundberg. The project focuses
-
of the PhD study programme, please see DTU's rules for the PhD education . Assessment We will be using shortlisting based on educational background, experience and preferred qualifications and call a number of
-
though any lack of specific technical skills will be taught on-the-job.. You have a Bachelors, or Masters, degree in computer science, software engineering, electrical engineering or a related subject. Our
-
. A dedicated full-time programme manager supports the course's coordination and delivery. Furthermore, you will facilitate and maintain meaningful collaborations with industry partners, industry
-
. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written
-
processes, preferably HTPEM fuel cells. Proficiency in relevant computational tools, such as COMSOL Multiphysics. Familiarity with degradation mechanisms and the transient behavior of PEM fuel cell stacks is
-
biochemicals and materials. Responsibilities and qualifications Your overall focus will be to establish and lead a strong research program in the field of synthetic biology and metabolic engineering of non-model
-
in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system