Sort by
Refine Your Search
-
for the governance of airborne wind and by investigating spatial, procedural and distributional issues in the deployment of AWE systems. Research will be based on qualitative social science methods, e.g. conducting
-
energy system and perform multi-disciplinary social science research in the technological, economic and societal nexus of wind energy. We use qualitative and quantitative methods, empirical data
-
approval, and 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
-
basic knowledge in glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming languages. You must have a two-year master's degree (120 ECTS points) or a
-
achieve this, you must have prior knowledge in the following topic: Wind farm flow modelling Machine learning Python scientific programming Excellent communication skills, both in writing and oral
-
Investigator program “Power efficient fiber-optic communication (POPCOM). The position is focused on developing machine learning frameworks, in terms of constellation and pulse-shaping, as well as equalization
-
Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
-
. The allowance will be agreed upon with the relevant union. The expected starting date is 1 September 2025. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment
-
mechanics, or similar relevant areas. Demonstrated programming skills (e.g., MATLAB, Python) for model development and simulation. Excellent communication skills in English, both written and verbal. Mobility