🇺🇸 PhD position, Princeton University, USA
☑️ architected and functionally graded materials, mechanics, and robotics
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☑️ architected and functionally graded materials, mechanics, and robotics
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PhD Studentship in Linguistics at University of Reading
https://www.jobs.ac.uk/job/CUQ790/phd-studentship-in-linguistics
https://www.jobs.ac.uk/job/CUQ790/phd-studentship-in-linguistics
Jobs.ac.uk
PhD Studentship in Linguistics at University of Reading
🇺🇸 Postdoc position, Columbia University, USA
☑️ Eligible candidates for this 2-year position must have a Ph.D. or M.D. with a background in cognitive neuroscience, neuropsychology, bioinformatics, biostatistics, cognitive psychology, experimental psychology, neuroimaging, psychology, or a related discipline
My lab is hiring! Please share this with anyone who may be interested. We are seeking a highly motivated candidate for this National Multiple Sclerosis Society-funded postdoctoral fellowship available in the laboratory of Dr. Victoria Leavitt to study cognitive rehabilitation in MS with an emphasis on multimodal neuroimaging methods. Current studies in Dr. Leavitt’s lab focus on developing treatment interventions involving behavioral and pharmacologic approaches targeting modifiable lifestyle factors including diet, exercise, mood, and intellectual enrichment that protect against cognitive decline. The Leavitt Lab has ongoing grant-funded studies to identify neural candidate biomarkers for cognitive impairment in MS, treatment interventions, and longitudinal studies to identify risk/protective factors for cognitive decline in MS. In addition, an ongoing study involves analysis of cohort data from >16,000 MS patients.
Eligible candidates for this 2-year position must have a Ph.D. or M.D. with a background in cognitive neuroscience, neuropsychology, bioinformatics, biostatistics, cognitive psychology, experimental psychology, neuroimaging, psychology, or a related discipline. Our division has a well-established record of post-doctoral training. The fellow selected for this position will be mentored by Dr. Leavitt, and will also have opportunities to work with other faculty mentors in the Cognitive Neuroscience Division, led by Prof. Yaakov Stern, and the Columbia University Multiple Sclerosis Center led by Philip De Jager, MD, PhD, and Claire Riley, MD. Our multidisciplinary care center is a world-class treatment and research facility devoted to exemplary patient care and ground-breaking clinical research.
The Cognitive Rehabilitation in MS Fellowship Training Program is designed to provide a solid research foundation for studying cognitive rehabilitation in MS with a specific focus on the development of science-based treatments. The ultimate goal of the program is to prepare the fellow for an independent research career. The fellow will be involved in studies utilizing a broad range of interrelated research approaches including classic neuropsychological evaluation, experimental cognitive techniques, measurement development, clinical trial development, cognitive neuroimaging including structural and functional MRI, DTI, resting BOLD, FLAIR, and MRS. There is an opportunity to work with a dataset of 16,000+ patients, applying machine learning approaches. Therefore, familiarity with large data analysis is a strength.
To apply, please send a cover letter describing your research interests and your CV to Dr. Leavitt, VL2337@cumc.columbia.edu. Start date for this position is flexible; applications will be considered on an ongoing basis.
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☑️ Eligible candidates for this 2-year position must have a Ph.D. or M.D. with a background in cognitive neuroscience, neuropsychology, bioinformatics, biostatistics, cognitive psychology, experimental psychology, neuroimaging, psychology, or a related discipline
My lab is hiring! Please share this with anyone who may be interested. We are seeking a highly motivated candidate for this National Multiple Sclerosis Society-funded postdoctoral fellowship available in the laboratory of Dr. Victoria Leavitt to study cognitive rehabilitation in MS with an emphasis on multimodal neuroimaging methods. Current studies in Dr. Leavitt’s lab focus on developing treatment interventions involving behavioral and pharmacologic approaches targeting modifiable lifestyle factors including diet, exercise, mood, and intellectual enrichment that protect against cognitive decline. The Leavitt Lab has ongoing grant-funded studies to identify neural candidate biomarkers for cognitive impairment in MS, treatment interventions, and longitudinal studies to identify risk/protective factors for cognitive decline in MS. In addition, an ongoing study involves analysis of cohort data from >16,000 MS patients.
Eligible candidates for this 2-year position must have a Ph.D. or M.D. with a background in cognitive neuroscience, neuropsychology, bioinformatics, biostatistics, cognitive psychology, experimental psychology, neuroimaging, psychology, or a related discipline. Our division has a well-established record of post-doctoral training. The fellow selected for this position will be mentored by Dr. Leavitt, and will also have opportunities to work with other faculty mentors in the Cognitive Neuroscience Division, led by Prof. Yaakov Stern, and the Columbia University Multiple Sclerosis Center led by Philip De Jager, MD, PhD, and Claire Riley, MD. Our multidisciplinary care center is a world-class treatment and research facility devoted to exemplary patient care and ground-breaking clinical research.
The Cognitive Rehabilitation in MS Fellowship Training Program is designed to provide a solid research foundation for studying cognitive rehabilitation in MS with a specific focus on the development of science-based treatments. The ultimate goal of the program is to prepare the fellow for an independent research career. The fellow will be involved in studies utilizing a broad range of interrelated research approaches including classic neuropsychological evaluation, experimental cognitive techniques, measurement development, clinical trial development, cognitive neuroimaging including structural and functional MRI, DTI, resting BOLD, FLAIR, and MRS. There is an opportunity to work with a dataset of 16,000+ patients, applying machine learning approaches. Therefore, familiarity with large data analysis is a strength.
To apply, please send a cover letter describing your research interests and your CV to Dr. Leavitt, VL2337@cumc.columbia.edu. Start date for this position is flexible; applications will be considered on an ongoing basis.
Join 👉 @AzarApply
🇺🇸 Graduate/Postdoc positions, University of Pittsburgh, USA
☑️ AI, Healthcare, Education
The Pitt Health + Explainable AI (Pitt HexAI) [https://lnkd.in/eJ_CvByV] Research Laboratory at the University of Pittsburgh, led by Ahmad P. Tafti, has a simple goal: to make healthcare better through the power of explainable artificial intelligence (AI). From computational perspective, our research focuses on engineering, implementing, validating, and deploying cutting-edge fundamental and applied explainable AI algorithms, and promote their applications in healthcare problems. We attempt to answer three main questions: 1) how advanced explainable AI strategies are developing in healthcare, 2) how they shape healthcare systems, and 3) how they impact the healthcare community. From clinical perspective, our research agenda spans musculoskeletal diseases and disorders that may follow total joint arthroplasty (TJA).
The Pitt HexAI Research Laboratory is functioning at University of Pittsburgh School of Health and Rehabilitation Sciences. Our group at Pitt HexAI is a multidisciplinary team, and it benefits from several extramural collaborations with other academic institutions, nationwide and worldwide. Moreover, our group aims to provide highest quality education and research experience in AI-powered health informatics at all levels from K-12 to undergraduate to graduate and postdoctoral levels.
We welcome collaboration in areas of mutual interest from academic organizations and industrial partners.
#ai #artificialintelligence #healthcare #education #research
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☑️ AI, Healthcare, Education
The Pitt Health + Explainable AI (Pitt HexAI) [https://lnkd.in/eJ_CvByV] Research Laboratory at the University of Pittsburgh, led by Ahmad P. Tafti, has a simple goal: to make healthcare better through the power of explainable artificial intelligence (AI). From computational perspective, our research focuses on engineering, implementing, validating, and deploying cutting-edge fundamental and applied explainable AI algorithms, and promote their applications in healthcare problems. We attempt to answer three main questions: 1) how advanced explainable AI strategies are developing in healthcare, 2) how they shape healthcare systems, and 3) how they impact the healthcare community. From clinical perspective, our research agenda spans musculoskeletal diseases and disorders that may follow total joint arthroplasty (TJA).
The Pitt HexAI Research Laboratory is functioning at University of Pittsburgh School of Health and Rehabilitation Sciences. Our group at Pitt HexAI is a multidisciplinary team, and it benefits from several extramural collaborations with other academic institutions, nationwide and worldwide. Moreover, our group aims to provide highest quality education and research experience in AI-powered health informatics at all levels from K-12 to undergraduate to graduate and postdoctoral levels.
We welcome collaboration in areas of mutual interest from academic organizations and industrial partners.
#ai #artificialintelligence #healthcare #education #research
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🇨🇦 PhD/MS positions, University of Toronto, Canada
Are you interested in Smart and Interactive Buildings, Building Energy Performance, Human-Building Interaction, and Indoor Environmental Quality? Do you want to develop Advanced AI solutions for Building Energy Systems and Occupants?
I am seeking students for fully funded MASc and PhD positions in the Intelligent and Interactive Buildings Lab (https://lnkd.in/gyGN55xk) in the Department of Civil and Mineral Engineering at the University of Toronto.
If you are interested, please email me at sjae.lee@utoronto.ca with the subject line “IIB Lab (MASc or PhD) Application - Your Name”. In the email, please include the following:
(i) one or two paragraphs outlining why you are interested in the Lab’s research and your relevant experience
(ii) your CV
(iii) your trannoscripts
Join 👉 @AzarApply
Are you interested in Smart and Interactive Buildings, Building Energy Performance, Human-Building Interaction, and Indoor Environmental Quality? Do you want to develop Advanced AI solutions for Building Energy Systems and Occupants?
I am seeking students for fully funded MASc and PhD positions in the Intelligent and Interactive Buildings Lab (https://lnkd.in/gyGN55xk) in the Department of Civil and Mineral Engineering at the University of Toronto.
If you are interested, please email me at sjae.lee@utoronto.ca with the subject line “IIB Lab (MASc or PhD) Application - Your Name”. In the email, please include the following:
(i) one or two paragraphs outlining why you are interested in the Lab’s research and your relevant experience
(ii) your CV
(iii) your trannoscripts
Join 👉 @AzarApply
🇺🇸 PhD position, University of Nevada, Reno
☑️ Civil engineering, Structural and Earthquake engineering
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☑️ Civil engineering, Structural and Earthquake engineering
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🇳🇿 PhD position, University of Waikato, New Zealand
☑️ Life Cycle Assessments and Material Flow Analyses
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☑️ Life Cycle Assessments and Material Flow Analyses
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🇧🇪 PhD position, Université de Liège, Belgium
☑️ Remote Sensing and Geographic Information Systems
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☑️ Remote Sensing and Geographic Information Systems
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🇺🇸 PhD position, University of Rhode Island, USA
☑️ cyber-physical systems and Internet-of-things, such as electric power grids
One Ph.D. Position Available at the University of Rhode Island (Fall 2023)
I am looking for Ph.D. students (1 position at this moment) as research or teaching assistants to join my group. We will work on interdisciplinary projects to enhance the resiliency of today’s cyber-physical systems and Internet-of-things, such as electric power grids. Students with interests and experiences in areas related to system/network security and reliability, computer networks, and power systems are encouraged to apply. The positions will remain open until filled by qualified candidates.
Qualification:
* B.S. or M.S. degree in computer engineering, electrical engineering, computer science, or closely related areas.
* Strong interest in cybersecurity, cyber-physical systems, and machine learning
* Strong programming skills
• (plus not required) experiences in software-defined networking or P4
• (plus not required) experiences in generative adversarial networks or deep reinforcement learning
Contact information
Please send your C.V., GRE (and TOFE or IELTS scores for foreign students) and trannoscript or any other questions to Dr. Hui Lin at huilin@uri.edu if interested.
Join 👉 @AzarApply
☑️ cyber-physical systems and Internet-of-things, such as electric power grids
One Ph.D. Position Available at the University of Rhode Island (Fall 2023)
I am looking for Ph.D. students (1 position at this moment) as research or teaching assistants to join my group. We will work on interdisciplinary projects to enhance the resiliency of today’s cyber-physical systems and Internet-of-things, such as electric power grids. Students with interests and experiences in areas related to system/network security and reliability, computer networks, and power systems are encouraged to apply. The positions will remain open until filled by qualified candidates.
Qualification:
* B.S. or M.S. degree in computer engineering, electrical engineering, computer science, or closely related areas.
* Strong interest in cybersecurity, cyber-physical systems, and machine learning
* Strong programming skills
• (plus not required) experiences in software-defined networking or P4
• (plus not required) experiences in generative adversarial networks or deep reinforcement learning
Contact information
Please send your C.V., GRE (and TOFE or IELTS scores for foreign students) and trannoscript or any other questions to Dr. Hui Lin at huilin@uri.edu if interested.
Join 👉 @AzarApply
🇺🇸 PhD positions in mathematics supported by RTG on Optimization and Inversion, University of Utah, Department of Mathematics
As part of the NSF-funded Research Training Group “Optimization and Inversion for the 21st Century Workforce,” the Department of Mathematics at the University of Utah invites applicants for graduate student (PhD) research assistantships. These positions involve working closely with applied mathematics faculty to contribute to RTG initiatives and the overarching goals of the RTG as described at https://www.math.utah.edu/amrtg/. For further information, please contact Professor Ken Golden, golden@math.utah.edu.
Admission to the PhD program in Mathematics requires a Bachelor's degree in Mathematics (or a related field). Candidates with a strong academic background (e.g., GPA and GRE scores) and strong potential for research are invited to apply. General information about the PhD program can be found at https://www.math.utah.edu/graduate/, and instructions for applying can be found at https://www.math.utah.edu/graduate/GraduateInstructions.php. To be considered for RTG support, applicants must be US citizens, nationals, or permanent residents, but admission to the PhD program is open to all nationalities and backgrounds.
The faculty in the Department of Mathematics at the University of Utah that specialize in applied mathematics have diverse areas of expertise, spanning the mathematics of materials and fluids, data science, optimization, inverse problems, machine learning, climate science, probability and statistics, numerical analysis and PDEs. More information about the group can be found at https://www.math.utah.edu/applied-math/.
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As part of the NSF-funded Research Training Group “Optimization and Inversion for the 21st Century Workforce,” the Department of Mathematics at the University of Utah invites applicants for graduate student (PhD) research assistantships. These positions involve working closely with applied mathematics faculty to contribute to RTG initiatives and the overarching goals of the RTG as described at https://www.math.utah.edu/amrtg/. For further information, please contact Professor Ken Golden, golden@math.utah.edu.
Admission to the PhD program in Mathematics requires a Bachelor's degree in Mathematics (or a related field). Candidates with a strong academic background (e.g., GPA and GRE scores) and strong potential for research are invited to apply. General information about the PhD program can be found at https://www.math.utah.edu/graduate/, and instructions for applying can be found at https://www.math.utah.edu/graduate/GraduateInstructions.php. To be considered for RTG support, applicants must be US citizens, nationals, or permanent residents, but admission to the PhD program is open to all nationalities and backgrounds.
The faculty in the Department of Mathematics at the University of Utah that specialize in applied mathematics have diverse areas of expertise, spanning the mathematics of materials and fluids, data science, optimization, inverse problems, machine learning, climate science, probability and statistics, numerical analysis and PDEs. More information about the group can be found at https://www.math.utah.edu/applied-math/.
Join 👉 @AzarApply
🇺🇸 PhD position, University of Washington, USA
☑️ social network analysis, machine learning, causal inference, or natural language processing
I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo.
I’m especially looking for students with a background and/or interest in social network analysis, machine learning, causal inference, or natural language processing.
DM/email me with any questions.
msaveski@stanford.edu
https://web.stanford.edu/~msaveski/
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☑️ social network analysis, machine learning, causal inference, or natural language processing
I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo.
I’m especially looking for students with a background and/or interest in social network analysis, machine learning, causal inference, or natural language processing.
DM/email me with any questions.
msaveski@stanford.edu
https://web.stanford.edu/~msaveski/
Join 👉 @AzarApply
🇺🇸 PhD position, University of Kentucky, USA
I am recruiting high-quality students to join my lab next fall!
Students will get a PhD in chemical engineering with research in engineering education.
Fill out this form to be invited to an info session: https://uky.az1.qualtrics.com/jfe/form/SV_7R02dvw4ZVgUpqm
Please share
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I am recruiting high-quality students to join my lab next fall!
Students will get a PhD in chemical engineering with research in engineering education.
Fill out this form to be invited to an info session: https://uky.az1.qualtrics.com/jfe/form/SV_7R02dvw4ZVgUpqm
Please share
Join 👉 @AzarApply
PhD & MFA Application Fee Waiver | Arts & Sciences | Boston University
https://www.bu.edu/cas/admissions/phd-mfa/apply/fee-waiver/
MFA: Master of Fine Arts
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https://www.bu.edu/cas/admissions/phd-mfa/apply/fee-waiver/
MFA: Master of Fine Arts
Join 👉 @AzarApply