Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
-
modelling of nitrogen fluxes in agricultural systems, starting 01-07-2026 or as soon as possible thereafter. The position will be available for a period of 2 years. Food security, climate change and loss
-
advanced modelling, data analysis, and algorithmic development. Your tasks will support our core research focus of mathematical and computational approaches to design and implement solution algorithms, with
-
leading journals, and secure future funding. During the employment period, the postdoc will be supervised by senior researchers and will work in close collaboration with them to produce research
-
simulation of circuits in QSpice and LTSpice and programming of design tools using C and Phyton. The hardware test platforms are controlled by microcontrollers and it is needed to program the microcontrollers
-
characterization with scanning electron microscopy is a plus Experience with computational tools such as MATLAB, Python or relevant tools Ability to work independently and collaboratively in a multidisciplinary team
-
fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results
-
industry experts. These solutions will be designed to meet the stringent security requirements for producing high-value, mission-critical components. Application deadline: November 24, 2025. Introduction
-
programme cohorts. Facilitating collaboration between academic staff, students, and external stakeholders to ensure smooth and effective programme delivery. Supporting dissemination, evaluation, and quality
-
? Then the Department of Electrical and Computer Engineering invites you to apply for a 2 year postdoc position bridging research with industrial implementation and innovation. Expected start date and