🇨🇦 PhD/MS Positions, Queen's University, Canada
- NLP
- Machine learning
Fully funded PhD and Master’s position (MASc) in Natural Language Processing and Machine Learning are available at the Text Analytics and Machine Learning Group led by Xiaodan Zhu (www.xiaodanzhu.com), at the Department of Electrical and Computer Engineering at Queen’s University Canada. The student will also be affiliated with the Ingenuity Labs Research Institute at Queen’s University.
Starting date: Sep. 1, 2024 or Jan. 1, 2025
Contact: xiaodan.zhu@queensu.ca
Webpage: www.xiaodanzhu.com
Application: https://lnkd.in/gupySjWf
Deadline for application: March. 1st, 2024 (We have started to review the applications and it is highly recommended that you submit your applications at the earliest convenience.)
Our students come from top universities across the globe and in Canada such as Beijing University, Sharif University of Technology, Fudan University, Queen’s University, Nankai University, Xi’an Jiaotong University, and University of Chicago. We aim to create a diverse and inclusive learning and research environment.
About Queen’s University: Queen’s University (https://www.queensu.ca/) has over 180 years of history and is one of Canada’s oldest universities. It is a public research university famous for many subjects such as engineering, science, and business. As of 2023, five Nobel Laureates and one Turing Award winner have been affiliated with the university. For example, in the year of 2015, Dr. Arthur B. McDonald received the Nobel Prize in Physics
Queen’s University’s campus is right by the Ontario Lake and is one of the most beautiful campuses in Canada. Queen’s University is located in Kingston, a tourist hotspot, and is right in between several big cities in Canada: Toronto, Montreal, and Ottawa, which are centers for artificial intelligence research and dynamic cities to live and visit.
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- NLP
- Machine learning
Fully funded PhD and Master’s position (MASc) in Natural Language Processing and Machine Learning are available at the Text Analytics and Machine Learning Group led by Xiaodan Zhu (www.xiaodanzhu.com), at the Department of Electrical and Computer Engineering at Queen’s University Canada. The student will also be affiliated with the Ingenuity Labs Research Institute at Queen’s University.
Starting date: Sep. 1, 2024 or Jan. 1, 2025
Contact: xiaodan.zhu@queensu.ca
Webpage: www.xiaodanzhu.com
Application: https://lnkd.in/gupySjWf
Deadline for application: March. 1st, 2024 (We have started to review the applications and it is highly recommended that you submit your applications at the earliest convenience.)
Our students come from top universities across the globe and in Canada such as Beijing University, Sharif University of Technology, Fudan University, Queen’s University, Nankai University, Xi’an Jiaotong University, and University of Chicago. We aim to create a diverse and inclusive learning and research environment.
About Queen’s University: Queen’s University (https://www.queensu.ca/) has over 180 years of history and is one of Canada’s oldest universities. It is a public research university famous for many subjects such as engineering, science, and business. As of 2023, five Nobel Laureates and one Turing Award winner have been affiliated with the university. For example, in the year of 2015, Dr. Arthur B. McDonald received the Nobel Prize in Physics
Queen’s University’s campus is right by the Ontario Lake and is one of the most beautiful campuses in Canada. Queen’s University is located in Kingston, a tourist hotspot, and is right in between several big cities in Canada: Toronto, Montreal, and Ottawa, which are centers for artificial intelligence research and dynamic cities to live and visit.
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🇦🇺 PhD Position, Queensland University of Technology, Australia
- Mathematics
- Statistics
👨🏫 Dr. Adrian Barnett
I have a PhD scholarship for maths/stats student to start in early 2024. The aim is to detect fraudulent papers that were created by paper mills. Will involve large data, text mining, and prediction modelling. Please get in touch if you're interested.
Best to email me a.Barnett@qut.edu.au
https://www.qut.edu.au/about/our-people/academic-profiles/a.barnett
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- Mathematics
- Statistics
👨🏫 Dr. Adrian Barnett
I have a PhD scholarship for maths/stats student to start in early 2024. The aim is to detect fraudulent papers that were created by paper mills. Will involve large data, text mining, and prediction modelling. Please get in touch if you're interested.
Best to email me a.Barnett@qut.edu.au
https://www.qut.edu.au/about/our-people/academic-profiles/a.barnett
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🇨🇭PhD Position, Paul Scherrer Institute, Switzerland
- Inorganic Chemistry
- Advanced Analytical Characterization Techniques
- Cement Chemistry
- Electrochemistry
- Thermodynamics
- Physical Sciences
- Mathematical Modeling
- Programming Skills for Numerical Simulation
- Atomistic Simulations
- Machine Learning and Artificial Intelligence
Deadline: 31 January 2024
https://www.psi.ch/en/pa/job-opportunities/60865-phd-student
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- Inorganic Chemistry
- Advanced Analytical Characterization Techniques
- Cement Chemistry
- Electrochemistry
- Thermodynamics
- Physical Sciences
- Mathematical Modeling
- Programming Skills for Numerical Simulation
- Atomistic Simulations
- Machine Learning and Artificial Intelligence
Deadline: 31 January 2024
https://www.psi.ch/en/pa/job-opportunities/60865-phd-student
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🇩🇪 PhD/Postdoctoral Positions, University of Heidelberg, Germany
☑️ Quantum or atomic physics
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☑️ Quantum or atomic physics
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🇺🇸 PhD Position, Florida State University, USA
☑️ skeletal muscle physiology
👨🏫 Dr. Bradley Gordon
I am still in need of a PhD student interested in skeletal muscle physiology to start in fall 2024.
Please contact me at bsgordon@fsu.edu if you are interested. This is a fully funded position. Do not hesitate to contact me about this position or if you have questions!
https://healthandhumansciences.fsu.edu/faculty-staff/brad-gordon/
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☑️ skeletal muscle physiology
👨🏫 Dr. Bradley Gordon
I am still in need of a PhD student interested in skeletal muscle physiology to start in fall 2024.
Please contact me at bsgordon@fsu.edu if you are interested. This is a fully funded position. Do not hesitate to contact me about this position or if you have questions!
https://healthandhumansciences.fsu.edu/faculty-staff/brad-gordon/
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🇺🇸 PhD Position, University of Hawaii at Mānoa, USA
- Microfluidics
- Mechanical design
- Printed electronics
- Acoustophoresis
- 3D Printing
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- Microfluidics
- Mechanical design
- Printed electronics
- Acoustophoresis
- 3D Printing
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🇮🇪 PhD Position, Trinity College Dublin, Ireland
☑️ Cancer Immunology
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☑️ Cancer Immunology
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🇺🇸 PhD Position, University of Oklahoma, USA
- Mobile Health
- Artificial Intelligence
- Biomedical Engineering
- Internet of Things (IoT)
- Smart Homes and Buildings
- Smart Cities
- Interdisciplinary Collaborations
- Data Science and Machine Learning
- Health Informatics
👩🏫 Dr. Beiyu Lin
Come join me! I am recruiting multiple Ph.D. students for my new journey at the University of Oklahoma (USNews ranking 124, flagship university, R1: very high research activity). Please kindly spread it.
For the past 2.5 years at UNLV, I deeply appreciate all the invaluable experience I have gained and the wonderful people I have met. Thanks to many of you for placing enormous trust in me and for helping me in numerous ways, hopefully, I can pass it forward to students and continuously make you proud.
My research focuses on mobile health, biomedical applications of AI (OU has its own medical and healthcare center), LLM-based smart homes, buildings, and cities, and other multi-disciplinary collaborations with domain experts as well as industry professionals (OU has an AI institute out of a total 25 AI institute in US).
Research in this area involves high coding, math background, and hard work. Visiting scholars, and interns are also very welcome!
Come join me! Together, we make dreams come true! Together, we push the boundaries of technology! Together, we make the impossible possible! Go SAIL!
P.S. I am in Sunnyvale, CA from now until 1/9/2024, Please drop me a msg for a coffee if you will be around :)
https://www.unlv.edu/people/beiyu-lin
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- Mobile Health
- Artificial Intelligence
- Biomedical Engineering
- Internet of Things (IoT)
- Smart Homes and Buildings
- Smart Cities
- Interdisciplinary Collaborations
- Data Science and Machine Learning
- Health Informatics
👩🏫 Dr. Beiyu Lin
Come join me! I am recruiting multiple Ph.D. students for my new journey at the University of Oklahoma (USNews ranking 124, flagship university, R1: very high research activity). Please kindly spread it.
For the past 2.5 years at UNLV, I deeply appreciate all the invaluable experience I have gained and the wonderful people I have met. Thanks to many of you for placing enormous trust in me and for helping me in numerous ways, hopefully, I can pass it forward to students and continuously make you proud.
My research focuses on mobile health, biomedical applications of AI (OU has its own medical and healthcare center), LLM-based smart homes, buildings, and cities, and other multi-disciplinary collaborations with domain experts as well as industry professionals (OU has an AI institute out of a total 25 AI institute in US).
Research in this area involves high coding, math background, and hard work. Visiting scholars, and interns are also very welcome!
Come join me! Together, we make dreams come true! Together, we push the boundaries of technology! Together, we make the impossible possible! Go SAIL!
P.S. I am in Sunnyvale, CA from now until 1/9/2024, Please drop me a msg for a coffee if you will be around :)
https://www.unlv.edu/people/beiyu-lin
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🇨🇦 PhD Position, Ontario Tech University, Canada
- Massive MIMO (Multiple-Input Multiple-Output)
- Spectrum Sharing
- Machine Learning
- Artificial Intelligence (AI)
👨🏫 Dr. Shahram ShahbazPanahi
I am looking for strong PhD students and post-doctoral fellows with excellent academic record in the areas of massive MIMO, spectrum sharing, machine learning and Al. Drop me a line you are interested.
https://engineering.ontariotechu.ca/people/ecse/shahram.shahbazpanahi.php
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- Massive MIMO (Multiple-Input Multiple-Output)
- Spectrum Sharing
- Machine Learning
- Artificial Intelligence (AI)
👨🏫 Dr. Shahram ShahbazPanahi
I am looking for strong PhD students and post-doctoral fellows with excellent academic record in the areas of massive MIMO, spectrum sharing, machine learning and Al. Drop me a line you are interested.
https://engineering.ontariotechu.ca/people/ecse/shahram.shahbazpanahi.php
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🇺🇸 Multiple Ph.D. Positions – Computational Fluid Dynamics and Fluid-Structure Interaction, Florida State University, USA
Two PhD positions are available in the Computational and Theoretical Multiphysics Laboratory (https://eng.famu.fsu.edu/~kshoele/CTML ) in the Department of Mechanical Engineering at the Florida State University (https://eng.famu.fsu.edu/me). Research projects will involve interdisciplinary computational and theoretical investigations of fluid structure interaction of flexible panels.
The following skills/certifications/interests are relevant to the positions:
- An undergraduate degree in engineering or related fields with a solid background in fluid mechanics. Candidates who have already obtained a master's degree are strongly encouraged to apply.
- Previous research experience is highly desirable. Desirable research skills include computational fluid dynamics, and programming (Fortran and C++).
- Strong oral and written communication skills.
- Interest in new topics and interdisciplinary research
Review of applications will begin immediately. To apply, please email a single PDF file containing a cover letter outlining your availability, CV, and contact information for references to Dr. Kourosh Shoele (kshoele@fsu.edu). Please include the phrase "PhD-CFD" in the Subject line of the email.
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Two PhD positions are available in the Computational and Theoretical Multiphysics Laboratory (https://eng.famu.fsu.edu/~kshoele/CTML ) in the Department of Mechanical Engineering at the Florida State University (https://eng.famu.fsu.edu/me). Research projects will involve interdisciplinary computational and theoretical investigations of fluid structure interaction of flexible panels.
The following skills/certifications/interests are relevant to the positions:
- An undergraduate degree in engineering or related fields with a solid background in fluid mechanics. Candidates who have already obtained a master's degree are strongly encouraged to apply.
- Previous research experience is highly desirable. Desirable research skills include computational fluid dynamics, and programming (Fortran and C++).
- Strong oral and written communication skills.
- Interest in new topics and interdisciplinary research
Review of applications will begin immediately. To apply, please email a single PDF file containing a cover letter outlining your availability, CV, and contact information for references to Dr. Kourosh Shoele (kshoele@fsu.edu). Please include the phrase "PhD-CFD" in the Subject line of the email.
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🇦🇺 PhD Position, Macquarie University, Australia
- Communication Systems
- Cognitive Radio Networks
- Digital Signal Processing
- Software Defined Radio
- Satellite Communication Systems
- Artificial Intelligence
👨🏫 Dr. Sam Reisenfeld
A three year fully funded PhD Scholarship is now available at Macquarie University, School of Engineering, Sydney Australia. This scholarship has been made available through funding from the SmartSat Cooperative Research Centre (Australia). The successful candidate should have some background and knowledge in most of the following areas: Communication Systems, Cognitive Radio Networks, Digital Signal Processing, Software Defined Radio, Satellite Communication Systems, Artificial Intelligence, and Matlab Programming. The successful candidate must begin the Macquarie University PhD Program in the first semester (end of February), 2024. The Scholarship opportunity is available to both international students and domestic Australian students. The research area for the PhD Scholarship is the application of Cognitive Radio Network Techniques to Satellite Communication Systems. The successful applicant will work in a consortium consisting of Macquarie University (Sydney), UTS (Sydney), RMIT (Melbourne), Deakin University (Melbourne), DST Group (Adelaide), and Airbus (UK) and will integrate PhD thesis research results and the research activities of the consortium. Should you have interest in the Macquarie University PhD Program and Scholarship, please immediately submit a cover letter, full resume, and complete contact details to: A/Prof Sam Reisenfeld, School of Engineering, Macquarie University, e-mail: sam.reisenfeld@mq.edu.au . Thank you in advance for your consideration of this extremely attractive research opportunity.
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- Communication Systems
- Cognitive Radio Networks
- Digital Signal Processing
- Software Defined Radio
- Satellite Communication Systems
- Artificial Intelligence
👨🏫 Dr. Sam Reisenfeld
A three year fully funded PhD Scholarship is now available at Macquarie University, School of Engineering, Sydney Australia. This scholarship has been made available through funding from the SmartSat Cooperative Research Centre (Australia). The successful candidate should have some background and knowledge in most of the following areas: Communication Systems, Cognitive Radio Networks, Digital Signal Processing, Software Defined Radio, Satellite Communication Systems, Artificial Intelligence, and Matlab Programming. The successful candidate must begin the Macquarie University PhD Program in the first semester (end of February), 2024. The Scholarship opportunity is available to both international students and domestic Australian students. The research area for the PhD Scholarship is the application of Cognitive Radio Network Techniques to Satellite Communication Systems. The successful applicant will work in a consortium consisting of Macquarie University (Sydney), UTS (Sydney), RMIT (Melbourne), Deakin University (Melbourne), DST Group (Adelaide), and Airbus (UK) and will integrate PhD thesis research results and the research activities of the consortium. Should you have interest in the Macquarie University PhD Program and Scholarship, please immediately submit a cover letter, full resume, and complete contact details to: A/Prof Sam Reisenfeld, School of Engineering, Macquarie University, e-mail: sam.reisenfeld@mq.edu.au . Thank you in advance for your consideration of this extremely attractive research opportunity.
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🇸🇪 PhD Position, Stockholm University, Sweden
☑️ Materials Chemistry
https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=22617&rmlang=UK
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☑️ Materials Chemistry
https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=22617&rmlang=UK
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🇩🇪 PhD Positions, University of Rostock, Germany
- Machine Learning
- Bioinformatics
- Computational Biology
- Environmental Science
- Data Science
- Artificial Intelligence
- Biomedical Engineering
- Public Health
https://bckrlab.org/join-us/
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- Machine Learning
- Bioinformatics
- Computational Biology
- Environmental Science
- Data Science
- Artificial Intelligence
- Biomedical Engineering
- Public Health
https://bckrlab.org/join-us/
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🇺🇸 PhD Position, University of Texas Dallas, US
- Fluid Dynamics
- Turbulence Modeling
- Ocean Engineering
- Mechanical Engineering
- Computational Fluid Dynamics
👨🏫 Dr. Kianoosh Yousefi
Four fully funded Ph.D. positions are available at the Flow Dynamics and Turbulence (FDT) Lab (https://lnkd.in/gDFPDvxF) at Mechanical Engineering at UT Dallas for Fall 2024 (Early Application Deadline to UTD: January 15).
1. Data-Driven Modeling of Air-Sea Interactions (ASI-ML): This collaborative project will integrate PIV measurements of wind-wave interactions with a high-fidelity digital twin model of the laboratory system to develop data-driven-based surrogate models for skin friction and form drag over surface waves.
2. Sea-Surface Drag Modelling using LESs (ASI-DSR): This collaborative research will focus on developing a sea-state-dependent parameterization of surface stress based on the scale-invariance argument of surface drag using a tight integration of infrared imaging technology and an LES framework for air-sea interactions.
3. Laboratory Measurements of Surface Waves (ASI-EXP): This project will investigate flows on both sides of the air-water interface by examining the kinematics and dynamics of turbulence structures that drive the interfacial fluxes and quantifying air-sea fluxes through laboratory experiments.
4. Large-Eddy Simulation of Langmuir Turbulence (LES-LT): In this project, we will use high-fidelity LESs to characterize the effects of spatial heterogeneity in atmospheric stress on the turbulence structure in the upper-ocean mixed layer and the evolution of Langmuir turbulence.
Instructions: Interested candidates are encouraged to contact Dr. Kianoosh Yousefi at kyousefi@utdallas.edu with their CV, unofficial trannoscripts, and 1-page research statement briefly discussing their research interests. For the email subject line, use "Prospective Ph.D. student: ASI-XXX" with appropriate research project keywords, i.e., ASI-ML, ASI-DSR, ASI-EXP, or LES-LT corresponding to the research projects described above.
Before reaching out, you are advised to read the FDT Lab participation manual (https://lnkd.in/gcSfpSvJ) and recent publications to ensure our mentoring and research philosophies are in line with your passions.
Please note that only complete applications with all requested documents will be considered, and due to the large volume of incoming emails, only those selected for further consideration will be contacted back.
Colleagues, please share this opportunity with your network and whoever might be interested. I am looking for a diverse pool of applicants, so your contributions in sharing the post are critical. Thanks!
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- Fluid Dynamics
- Turbulence Modeling
- Ocean Engineering
- Mechanical Engineering
- Computational Fluid Dynamics
👨🏫 Dr. Kianoosh Yousefi
Four fully funded Ph.D. positions are available at the Flow Dynamics and Turbulence (FDT) Lab (https://lnkd.in/gDFPDvxF) at Mechanical Engineering at UT Dallas for Fall 2024 (Early Application Deadline to UTD: January 15).
1. Data-Driven Modeling of Air-Sea Interactions (ASI-ML): This collaborative project will integrate PIV measurements of wind-wave interactions with a high-fidelity digital twin model of the laboratory system to develop data-driven-based surrogate models for skin friction and form drag over surface waves.
2. Sea-Surface Drag Modelling using LESs (ASI-DSR): This collaborative research will focus on developing a sea-state-dependent parameterization of surface stress based on the scale-invariance argument of surface drag using a tight integration of infrared imaging technology and an LES framework for air-sea interactions.
3. Laboratory Measurements of Surface Waves (ASI-EXP): This project will investigate flows on both sides of the air-water interface by examining the kinematics and dynamics of turbulence structures that drive the interfacial fluxes and quantifying air-sea fluxes through laboratory experiments.
4. Large-Eddy Simulation of Langmuir Turbulence (LES-LT): In this project, we will use high-fidelity LESs to characterize the effects of spatial heterogeneity in atmospheric stress on the turbulence structure in the upper-ocean mixed layer and the evolution of Langmuir turbulence.
Instructions: Interested candidates are encouraged to contact Dr. Kianoosh Yousefi at kyousefi@utdallas.edu with their CV, unofficial trannoscripts, and 1-page research statement briefly discussing their research interests. For the email subject line, use "Prospective Ph.D. student: ASI-XXX" with appropriate research project keywords, i.e., ASI-ML, ASI-DSR, ASI-EXP, or LES-LT corresponding to the research projects described above.
Before reaching out, you are advised to read the FDT Lab participation manual (https://lnkd.in/gcSfpSvJ) and recent publications to ensure our mentoring and research philosophies are in line with your passions.
Please note that only complete applications with all requested documents will be considered, and due to the large volume of incoming emails, only those selected for further consideration will be contacted back.
Colleagues, please share this opportunity with your network and whoever might be interested. I am looking for a diverse pool of applicants, so your contributions in sharing the post are critical. Thanks!
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