Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Technical University of Denmark
- University of Nottingham
- University of Oslo
- Linköping University
- University of Warwick
- Cranfield University
- Forschungszentrum Jülich
- The University of Manchester
- ETH Zürich
- CNRS
- Eindhoven University of Technology (TU/e)
- University of Luxembourg
- University of Southern Denmark
- Utrecht University
- Delft University of Technology (TU Delft)
- HONG KONG BAPTIST UNIVERSITY
- Inria, the French national research institute for the digital sciences
- Newcastle University
- Umeå University
- University of Basel
- Uppsala universitet
- DAAD
- Leibniz
- University of Birmingham
- University of Surrey
- Carnegie Mellon University
- Empa
- Faculty of Science, Charles University
- Norwegian University of Life Sciences (NMBU)
- University of Antwerp
- University of Exeter
- University of Plymouth
- Vrije Universiteit Brussel (VUB)
- ;
- Aalborg Universitet
- Duke University
- Hong Kong Polytechnic University
- KU LEUVEN
- Queensland University of Technology
- Tallinn University of Technology
- University of Bergen
- University of Cambridge;
- University of Twente
- VIB
- Ariel University
- CSIC
- Chalmers University of Technology
- Ecole Centrale de Lyon
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- George Mason University
- Hasselt University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- Leiden University
- Loughborough University;
- Manchester Metropolitan University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Newcastle University;
- PHAETHON Centre of Excellence
- SciLifeLab
- Swansea University
- Tampere University
- Technical University Of Denmark
- UCL
- University of Amsterdam (UvA)
- University of Birmingham;
- University of Bristol
- University of Leeds
- University of North Texas at Dallas
- University of Sheffield
- University of South Carolina
- University of Surrey;
- Universität für angewandte Kunst Wien
- Vrije Universiteit Brussel
- Wageningen University & Research
- Abertay University
- Academic Europe
- Auburn University
- Babes-Bolyai University
- Brunel University
- Centrale Supelec
- CentraleSupélec Rennes campus
- Consiglio Nazionale delle Ricerche
- Constructor University Bremen gGmbH
- DIFFER
- Electronics and Informatics Department
- European Magnetism Association EMA
- European Synchrotron Radiation Facility
- Faculty of Sciences of the University of Porto
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Harper Adams University
- Harvard University
- 90 more »
- « less
-
Field
-
industries like pharmaceuticals, food processing, and construction, the project may also incorporate machine learning methods for model calibration and optimisation, driving more sustainable material handling
-
machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics
-
machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
-
for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
-
, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
-
languages. Have experience of quantitative analysis, computational modelling, bioinformatics, machine learning, or another form of data-intensive academic research. Have a strong interest in interdisciplinary
-
If you want to pursue a research career at the intersection of additive manufacturing (AM), microstructural engineering and advanced statistical/machine-learning (ML) based modelling, then this PhD
-
practical applications, including solving mathematical reasoning problems. The ideal candidate has a strong background in machine learning and an interest in bridging rigorous theoretical insights with
-
framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
-
. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group