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PhD: Vacancy: PhD position Machine Learning for engineering (ML4ENG)
Where: IDLab, Ghent University - imec, Belgium Belgium
What: The activities of the PhD position are embedded in this stimulating environment with a focus on data-efficient machine learning (or surrogate modeling) techniques to solve complex and challenging engineering problems with use cases from various engineering disciplines such as electrical and mechanical engineering.

In particular, the goal of the PhD research is to design tools and techniques to improve key parts of the engineering design pipeline, aiding designers in several computer aided design (CAD; design and analysis of computer experiments) activities such as uncertainty quantification, calibration, sensitivity analysis, design space exploration and optimization, etc. Machine learning algorithms such as Gaussian Processes and Bayesian optimization will be used to create a modern design flow, e.g., for the efficient design of electromagnetic and electronics circuits. This includes techniques for physics-informed modeling, generative design, preference-based learning, explainable engineering design, spatiotemporal modeling, efficient data collection and labeling, etc. The proposed PhD research is defined within the context of several national and international research projects on automation in machine learning (AutoML).


Who: Ivo Couckuyt - ivo.couckuyt@ugent.be
When: Until 2023-02-28 00:00
Presented at next GECCO?: no

PhD: PhD position in Machine Learning for Engineering (ML4ENG)
Where: IDLab, Ghent University - imec, Belgium Belgium
What: https://sumo.intec.ugent.be/sites/sumo/files//Vacancy_PhD_Student_SUMO_Group_DEML.pdf

Who: Ivo.Couckuyt@ugent.be
When: Until 2023-02-28 00:00
Presented at next GECCO?: no

post-doc: Postdoc position at Newcastle University on Biomedical Data Science
Where: Newcastle University, Newcastle upon Tyne, United Kingdom United Kingdom
What: -------------------------
  • 1 postdoctoral position in Biomedical Data
  • Fixed-term 1-year contract.
  • Location: School of Computing, Newcastle University, UK
  • Deadline for application: 18th November 2022
-------------------------

We are seeking to appoint an exceptional biomedical data scientist to
analyse of the wealth of data that was generated in the APPROACH
project. This project focused on the identification of Osteoarthritis
(OA) disease phenotypes. It constructed a longitudinal cohort and
dataset that included clinical data, questionnaires, imaging data, and
biological assays from participants across Europe.

You will be responsible for the design innovative data integration
strategies, which will enable the project team to extract the maximum
value from the wealth of data that the project created, particularly
focusing on the discovery of new OA phenotypes and the identification of
biomarker panels to predict disease progression.

You should have a PhD awarded (or nearing completion) in Data Science or
a closely related discipline with a good record of accomplishment in
publications. You should have demonstrable communication and
interpersonal skills and an aptitude for engaging with stakeholders at a
local and international level. You should have the ability to use
personal initiative and creativity to solve problems.

More info and instructions on how to apply: https://www.jobs.ac.uk/job/CUF112/research-assistant-associate-in-biomedical-data-analytics

Who: jaume.bacardit@newcastle.ac.uk
When: Until 2022-11-17 19:00
Presented at next GECCO?: no

PhD: PhD studentships
Where: Edinburgh, United Kingdom United Kingdom
What: Fully Funded PhD studentships at Edinburgh Napier University (for national and international students)

A number of studentships in Evolutionary Computation are available including:

a) Meta-heuristic Search/Algorithm-Selection or Generation in Combinatorial Optimisation to develop optimisers that improve over time (Prof. Emma Hart)
b) Evolutionary Robotics:
- Adaptive Robot Behaviours in dynamic and outdoor settings (Dr Léni Le Goff)
- Generating diverse and functional robots by jointly optimising their body-plan and controllers (Dr Léni Le Goff)
- Quality-Diversity approaches to learning and morphology generation for single robots or swarms (Prof. E Hart)

Full details here: https://www.jobs.ac.uk/job/CVH837/phd-studentships
Application Deadline: 16th December

Edinburgh Napier University is ranked the top modern University in Scotland in the 2022 Times World University Rankings. The School of Computing, Engineering and the Built Environment is highly regarded and has invested recently heavily in research in terms of both staff and facilities to conduct world class research in a wide range of disciplines.

In the 2021 Research Excellence Framework (REF), our research was ranked top modern university in Scotland in terms of research power. The School of Computing, Engineering and the Built Environment at ENU is investing in a large number fully funded 3-year PhD studentships which cover full UK or international tuition fees and will include a standard living allowance at the RCUK rate (Currently £17,668 pa).



Who: Professor Emma Hart
When: Until 2022-12-15 19:00
Presented at next GECCO?:



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