Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
ICT Services & Applications. Your role We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé
-
systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a
-
collaborative researcher with experience aligned to continuum battery modelling and degradation science. The points below give an overview of the profile we’re looking for: A PhD in engineering, mathematics
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 21 hours ago
the energy transition Experience and competency in quantitative analysis, including applied econometrics Experience in applied theoretical modeling a plus Proficient at statistical software, e.g., STATA
-
Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
-
exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
-
16th March 2026 Languages English English English The Department of Structural Engineering has two vacancies for SFI FAST: PhD positions in Modelling Strength and Failure in Recycled Aluminium
-
and Energy (HDS-LEE), the project offers an interdisciplinary research environment at the interface of bioengineering, computational biophysics, and data-driven modeling, with strong links to open
-
models, (d) computer vision and medical imaging, (e) agentic AI systems, (f) software engineering for high-TRL AI prototypes. Overseeing daily engineering workflows and coordinating technical activities
-
public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in