🇨🇦 MSc position, University of Alberta, Canada

☑️ Chemical or Materials Engineering, Polymer Science

👨‍🏫 Dr. Hyun-Joong Chung:
(Associate Professor at University of Alberta)

We have a special MSc opening for either F2023 or W2024 matriculation.
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🇫🇷 Postdoc position, Sorbonne University, France

☑️ Macromolecular Chemistry

👨‍🏫 Dr. Nicolas Illy:

We have an open postdoc position at IPCM Sorbonne Université !
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🇨🇦 PhD position, UQAM, Canada

☑️ Physical Geography, Biology, Environmental science
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🇧🇪 PhD position, Katholieke Universiteit Leuven, Belgium

☑️ Fields:

Bio-engineering
Biology
Chemistry
Electronics

👩‍🏫 Dr. Irene Taurino:

I have a new PhD opening in the field of sensors for organ on chips to understand the radiation-induced effects on cardiac cells!!!

Check out this link https://lnkd.in/ejA447MT

SCK-CEN supervisors: Kevin Tabury & Bjorn Baselet

🙏 Sharing is much appreciated!

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🇺🇸 PhD position, University of Louisville, US

☑️ Industrial Engineering, Operations Research, Computer Science, Mathematics, Statistics, or related fields
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🇦🇺 PhD position, University of Queensland, Australia

☑️ Public health, Epidemiology

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🇩🇪 PhD position, University of Oldenburg, Germany

☑️ Physics, Chemistry, Biophysics

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🇺🇸 PhD position, University of Minnesota, Twin Cities, US

☑️ Transportation

👨‍🏫 Dr. Seongjin Choi:

I am looking for 1-2 highly motivated Ph.D. students for Spring/Fall 2024 semesters (starting in January/September). The positions are in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities.

I encourage those with a passion for applying machine learning and deep learning to urban transportation and mobility data and utilizing advanced AI methods to solve transportation and mobility problems, to apply.

Areas of research interest, though not limited to, are:
- Urban transportation and mobility data analytics
- Spatiotemporal data modeling (forecasting, imputation)
- Generative AI for transportation and mobility data
- Modeling CAV, C-ITS using Reinforcement Learning
- Other applications of machine learning and deep learning in the transportation domain

Preferred candidates should have strong quantitative and modeling skills, and excellent communication skills. They should be interested in using data-driven, AI methodologies for extensive data analysis and AI/deep learning model development. A strong background in mathematics, machine learning, and computer programming (Python, C++) is highly recommended.

If interested, please reach out to me via email at chois@umn.edu with the subject line: “Prospective PhD Student [Name]”. Please include a CV, a statement of research interests, and an academic trannoscripts.
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🇪🇸 Four Years Fully Funded Predoc Position, University of Barcelona, Spain

☑️ Philosophy

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🇩🇪 PhD position, University of Marburg, Germany

☑️ Psychology

👨‍🏫 Dr. Daniel Heck:

I am searching for a PhD student (3 years) in the project "Cognitive & Statistical Modeling of Subjective Expectations"

Job posting: https://uni-marburg.de/lkbKeT

Details about all 14 projects in the Research Training Group
: https://uni-marburg.de/en/fb04/rtg-2271/phd-program-1/available-phd-positions

Thanks for sharing!
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❌ Reminder

The application deadline is tomorrow!

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❌ Reminder

The application deadline is tomorrow!

❌ Reminder

The application deadline is tomorrow!

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🇩🇪 PhD position, University of Bayreuth, Germany

☑️ Biology, Microbial Ecology, Biochemistry, Limnology, Oceanography
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🇦🇹 PhD position, JKU, Austria

☑️ Mechanical engineering, Fluid Mechanics, Chemical engineering, Physics, CFD
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🇮🇪 Faculty position, DCU, Ireland

☑️ Finance

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🇨🇦 PhD/MSc Positions, University of Alberta, Canada

☑️ Mechanical Engineering

👨‍🏫 Prof. Chun Il Kim:

Ph.D. and/or M.Sc position in Mechanical Engineering is avaialbe for 2023 Fall or 2024 Winter admission.
https://apps.ualberta.ca/directory/person/cikim
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🇳🇱 PhD positions, University of Groningen, Netherlands

☑️ Biomedical engineering, Bioengineering, Mechanical engineering, Electrical engineering in Bio-inspired Micro/Nano Electro Mechanical Systems (MEMS/NEMS) Sensors

👨‍🏫 Dr. Ajay Giri Prakash Kottapalli:

Last few days to apply for 2 PhD positions available in Bio-inspired Micro/Nano Electro Mechanical Systems (MEMS/NEMS) Sensors in my research group, Bio-inspired MEMS and Biomedical devices at Engineering and Technology institute Groningen at Faculty of Science and Engineering - University of Groningen

Interested in working at the interface of biology and MEMS? Looking forward to join our vibrant team of students working on various aspects of Biomimetic MEMS and Wearable Sensors?

We are looking for enthusiastic and motivated candidates with an interest to conduct a PhD in the area of MEMS and Wearable Sensors. Our team has two openings for PhDs possible through the European Research Council (ERC) Starting Grant I received last year.

Follow this link to read the job denoscription, expertise required and also to apply for the position (If you scroll fully down, the apply button is at the end of the page): https://lnkd.in/e3V2fUKP

You can also email me for any other related questions at: a.g.p.kottapalli@rug.nl
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🇫🇷 PhD position, IFP, France

☑️ Wind engineering, Mechanical engineering, Mathematics

👨‍🏫 Dr. David C:

Looking for a 3 years long PhD in wind engineering in a french research institute in the Lyon area? We have this offer for you:

IFP Energies nouvelles (IFPEN) is a major research and training player in the fields of energy, transport and the environment. From research to industry, technological innovation is central to all its activities, structured around three strategic priorities: sustainable mobility, new energies and responsible oil and gas.
In the field of wind energy, operators are now focusing on using wind turbines located in wind farms in the best possible way, to either produce the maximum energy possible, either produce the right amount of energy at the right time, such that they provide services for the electrical grid, while limiting the wind turbine mechanical stress, in order to eventually minimize the cost of energy. It is possible to limit the interactions between a turbine wake and the downwind turbines by controlling its yaw angle and power produced, and thus alleviating the production losses and mechanical fatigue. In this context, our central question will be “How to robustly minimize a wind farm cost of energy via a control algorithm using a dynamic wind farm flow model, and how to implement it in real world?”. Indeed, the “implementation in real world”, “dynamic wind farm flow model” and “cost of energy minimization” aspect of things are very important.
On one hand, most of current works focus on cases where the farm is operated in normal conditions, whereas it is of primal importance to detect and manage cases where the farm is in abnormal operating conditions, for a robust real-world implementation.
On the other hand, most of the works are using steady state models for wind farm control. Therefore, the capacity to derive an optimal control problem, relying on innovative dynamic wind farm flow models, constitutes an important contribution of the thesis.
Eventually, some recent works had as an objective to either maximize energy production, either regulate power production with wind turbines load alleviation as secondary objective. However, very few contributions focused on the explicit minimization of energy cost, which is one of the main drivers for operators. We are thus facing a sound scientific, and economic, challenge.
The PhD results will contribute to three majors advances:
1. Contribute to the implementation and deployment of enhanced, robust and efficient wind farm control algorithms on commercial wind farms;
2. Emphasize and quantify the added value of using dynamic wind farm flow models in place of steady ones for wind farm flow control;
3. Define a cost criterion allowing to efficiently minimize the cost of energy over long time horizons.
The candidate must be graduated of a master's degree in mathematics or mechanical engineering with a preferred specialization in automatic, optimization or signal processing. Knowledge in machine learning would be appreciated.

Contact: david.collet@ifpen.fr
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🇦🇹 PhD position, BOKU Vienna, Austria

☑️ renewable materials, material science, biology / biotechnology, chemistry, wood science and technology, with a focus on biological materials / renewable materials
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