Postdoc at Massachusetts General Hospital/Harvard Medical School
The Division of Neurotherapeutics at Massachusetts General Hospital/Harvard Medical School is seeking applicants for a multi-year postdoctoral fellowship in the areas of neuroimaging and neuromodulation for psychiatric disorders (start date: ASAP; supervisors: Tina Chou, PhD, and Darin Dougherty, MD). The fellow will be trained to administer a novel form of brain stimulation, low intensity focused ultrasound pulsation (LIFUP) or transcranial focused ultrasound (tFUS). The fellow will also be responsible for collecting and analyzing neuroimaging data (task and resting state BOLD fMRI, ASL, diffusion) examining LIFUP/tFUS’ effects on the brain. The overall goal is to investigate the therapeutic potential of LIFUP/tFUS for treatment-resistant obsessive-compulsive disorder and generalized anxiety disorder.
This position is best suited for an applicant with a PhD in psychology or neuroscience. Candidates must have experience collecting and analyzing neuroimaging data (MATLAB SPM, functional connectivity analyses, and/or ASL analyses). Prior experience with brain stimulation and working with clinical populations is a plus, but not required. The fellow will also be working with a team of research assistants; strong interpersonal and effective communication skills are a must.
Our laboratory is part of the Athinoula A. Martinos Center for Biomedical Imaging, one of the world’s largest and most diverse human neuroscience centers. The fellow will gain experience working with a novel form of neuromodulation and have access to unique clinical neuroimaging datasets. The fellow will have multiple opportunities for publications and professional career development activities.
Candidates should send a cover letter, CV, and the names of 2-3 references to Tina Chou, PhD at tchou@mgh.harvard.edu. The cover letter should include a denoscription of past experiences relevant to this position as well as goals the fellow would like to achieve during and after the fellowship. Applications will be reviewed on a rolling basis.
MGH is an equal-opportunity employer and welcomes applicants from any ethnicity, gender, nationality, or background.
✔️ @ApplyTime
The Division of Neurotherapeutics at Massachusetts General Hospital/Harvard Medical School is seeking applicants for a multi-year postdoctoral fellowship in the areas of neuroimaging and neuromodulation for psychiatric disorders (start date: ASAP; supervisors: Tina Chou, PhD, and Darin Dougherty, MD). The fellow will be trained to administer a novel form of brain stimulation, low intensity focused ultrasound pulsation (LIFUP) or transcranial focused ultrasound (tFUS). The fellow will also be responsible for collecting and analyzing neuroimaging data (task and resting state BOLD fMRI, ASL, diffusion) examining LIFUP/tFUS’ effects on the brain. The overall goal is to investigate the therapeutic potential of LIFUP/tFUS for treatment-resistant obsessive-compulsive disorder and generalized anxiety disorder.
This position is best suited for an applicant with a PhD in psychology or neuroscience. Candidates must have experience collecting and analyzing neuroimaging data (MATLAB SPM, functional connectivity analyses, and/or ASL analyses). Prior experience with brain stimulation and working with clinical populations is a plus, but not required. The fellow will also be working with a team of research assistants; strong interpersonal and effective communication skills are a must.
Our laboratory is part of the Athinoula A. Martinos Center for Biomedical Imaging, one of the world’s largest and most diverse human neuroscience centers. The fellow will gain experience working with a novel form of neuromodulation and have access to unique clinical neuroimaging datasets. The fellow will have multiple opportunities for publications and professional career development activities.
Candidates should send a cover letter, CV, and the names of 2-3 references to Tina Chou, PhD at tchou@mgh.harvard.edu. The cover letter should include a denoscription of past experiences relevant to this position as well as goals the fellow would like to achieve during and after the fellowship. Applications will be reviewed on a rolling basis.
MGH is an equal-opportunity employer and welcomes applicants from any ethnicity, gender, nationality, or background.
✔️ @ApplyTime
Research Assistant at Harvard University
Joint position between Cikara and Gershman labs to investigate social structure learning (see application page for details!)
Open until filled but looking for a candidate to start as early as September 1.
Please apply here: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25240&siteid=5341&PageType=JobDetails&jobid=1904736#jobDetails=1904736_5341
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Mina Cikara | Associate Professor
Harvard University | Department of Psychology
✔️ @ApplyTime
Joint position between Cikara and Gershman labs to investigate social structure learning (see application page for details!)
Open until filled but looking for a candidate to start as early as September 1.
Please apply here: https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=25240&siteid=5341&PageType=JobDetails&jobid=1904736#jobDetails=1904736_5341
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Mina Cikara | Associate Professor
Harvard University | Department of Psychology
✔️ @ApplyTime
Brassring
Research Assistant I - Harvard University - Job Details
Click to learn more about and apply for the position
Fully funded Phd Position at State University of New York
Fully funded Positions at ML Lab at UAlbany
Applications are invited for fully funded PhD positions in the Machine Learning Laboratory (https://sites.google.com/view/mlualbany) at University at Albany, State University of New York (SUNY), led by Prof Yiming Ying (https://www.albany.edu/~yy298919/). See more detailed information below.
1. The candidate should be self-motivated and have strong interests in mathematical data science and machine learning with strong math background.
2. The preferred candidate should have a BSc or master degree in math/statistics or other closely related fields.
3. The candidate will play a leading role in conducting innovative research projects in a stimulating, open, and international research environment in a highly talented and motivated machine learning and data science group at UAlbany.
4. A non-exhaustive list of topics that are currently investigated by the team includes machine learning theory, optimization, stability and generalization analysis, deep learning for imbalanced classification, differential privacy, and trustworthy machine learning.
Location
About University at Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, as an R1 research university, its broad mission of excellence in undergraduate and graduate education, research, and public service engages a diverse student body of more than 17,900 students in nine schools and colleges across three campuses.
Located in Albany, New York, New York State’s capital, the University is convenient to Boston, New York City, and the Adirondacks.
Timeframe
Starting from Spring 2022 or Fall 2022
Application Process
All inquiries should be submitted to yying at albany.edu
✔️ @ApplyTime
Fully funded Positions at ML Lab at UAlbany
Applications are invited for fully funded PhD positions in the Machine Learning Laboratory (https://sites.google.com/view/mlualbany) at University at Albany, State University of New York (SUNY), led by Prof Yiming Ying (https://www.albany.edu/~yy298919/). See more detailed information below.
1. The candidate should be self-motivated and have strong interests in mathematical data science and machine learning with strong math background.
2. The preferred candidate should have a BSc or master degree in math/statistics or other closely related fields.
3. The candidate will play a leading role in conducting innovative research projects in a stimulating, open, and international research environment in a highly talented and motivated machine learning and data science group at UAlbany.
4. A non-exhaustive list of topics that are currently investigated by the team includes machine learning theory, optimization, stability and generalization analysis, deep learning for imbalanced classification, differential privacy, and trustworthy machine learning.
Location
About University at Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, as an R1 research university, its broad mission of excellence in undergraduate and graduate education, research, and public service engages a diverse student body of more than 17,900 students in nine schools and colleges across three campuses.
Located in Albany, New York, New York State’s capital, the University is convenient to Boston, New York City, and the Adirondacks.
Timeframe
Starting from Spring 2022 or Fall 2022
Application Process
All inquiries should be submitted to yying at albany.edu
✔️ @ApplyTime
Google
ML@UAlbany
UA Machine Learning Lab (ML@UAlbany)
Postdoc / Staff Scientist in light field / light sheet imaging
The Goodhill lab at Washington University in St Louis is looking for an experienced optical physicist. The primary goal of this position, a collaboration with Oliver Cossairt at Northwestern University, is to develop novel microscopy methods for whole-brain calcium imaging in freely behaving zebrafish.
The lab focuses on the formation of neural circuits underlying behavior. This includes developing novel experimental, computational and theoretical methods and applying them to domains including hunting and social behavior, sleep and autism spectrum disorders. The lab is fully integrated between experimental and theoretical work. Washington University in St Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. The lab is based at the Medical School between the departments of Neuroscience and Developmental Biology, but also has strong links with the Faculty of Engineering.
To apply please send a detailed CV and cover letter explaining your interest to g.goodhill@wustl.edu.
Professor Geoffrey J Goodhill
Departments of Neuroscience, Developmental Biology and Biomedical Engineering
Washington University School of Medicine
St. Louis, MO 63110
https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd
Email: g.goodhill@wustl.edu
✔️ @ApplyTime
The Goodhill lab at Washington University in St Louis is looking for an experienced optical physicist. The primary goal of this position, a collaboration with Oliver Cossairt at Northwestern University, is to develop novel microscopy methods for whole-brain calcium imaging in freely behaving zebrafish.
The lab focuses on the formation of neural circuits underlying behavior. This includes developing novel experimental, computational and theoretical methods and applying them to domains including hunting and social behavior, sleep and autism spectrum disorders. The lab is fully integrated between experimental and theoretical work. Washington University in St Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. The lab is based at the Medical School between the departments of Neuroscience and Developmental Biology, but also has strong links with the Faculty of Engineering.
To apply please send a detailed CV and cover letter explaining your interest to g.goodhill@wustl.edu.
Professor Geoffrey J Goodhill
Departments of Neuroscience, Developmental Biology and Biomedical Engineering
Washington University School of Medicine
St. Louis, MO 63110
https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd
Email: g.goodhill@wustl.edu
✔️ @ApplyTime
Neuroscience
Geoffrey Goodhill, PhD - Neuroscience
Director of the Center for Theoretical & Computational Neuroscience Goodhill Lab Research The Goodhill laboratory’s overall goal is to understand the computational principles that underlie brain development, using a combination of experimental and theoretical…
PostDoc Researcher at McGill University
The Neuropragmatics and Emotion lab at McGill University (https://www.mcgill.ca/pell_lab/) is searching for a creative scientist to spearhead a research programme in the area of vocal communication of emotion and interpersonal meaning. Projects would be oriented around one or some combination of the following topics: defining psychophysiological, perceptual, and/or acoustic correlates of vocal displays of emotion in healthy adults (e.g., using ERPs, eyetracking); audio-visual integration of affective cues during social interactions; and understanding social-contextual influences on vocal expression analysis and interpretation during speech communication. The candidate’s research would be supervised by Dr. Marc Pell (McGill Faculty of Medicine and Health Sciences).
This two-year position offers independence as well as important opportunities for collaboration in the School and as a member of the McGill Centre for Research on Brain, Language, and Music (www.crblm.ca). Starting date is flexible but projected for January 2022.
Candidates should provide a CV demonstrating evidence of research productivity, a one-page statement of research intent, and the names of two individuals who would be willing to provide a letter of recommendation (with their contact information). The closing date for applications is September 30, 2021 (or until filled).
McGill University is situated in the heart of Montréal, Canada, a vibrant city and the metropolis of Québec. Language and neuroscience are both strategic research priorities at McGill, which has gained an enviable reputation in this domain. For information about postdoctoral studies at McGill, see www.mcgill.ca/gps/postdocs.
Inquiries should be sent directly to Dr. Marc Pell (marc.pell@mcgill.ca). For complete information and application details, please go to:
https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/McGill-College-2001/Postdoctoral-Researcher_JR0000014128
✔️ @ApplyTime
The Neuropragmatics and Emotion lab at McGill University (https://www.mcgill.ca/pell_lab/) is searching for a creative scientist to spearhead a research programme in the area of vocal communication of emotion and interpersonal meaning. Projects would be oriented around one or some combination of the following topics: defining psychophysiological, perceptual, and/or acoustic correlates of vocal displays of emotion in healthy adults (e.g., using ERPs, eyetracking); audio-visual integration of affective cues during social interactions; and understanding social-contextual influences on vocal expression analysis and interpretation during speech communication. The candidate’s research would be supervised by Dr. Marc Pell (McGill Faculty of Medicine and Health Sciences).
This two-year position offers independence as well as important opportunities for collaboration in the School and as a member of the McGill Centre for Research on Brain, Language, and Music (www.crblm.ca). Starting date is flexible but projected for January 2022.
Candidates should provide a CV demonstrating evidence of research productivity, a one-page statement of research intent, and the names of two individuals who would be willing to provide a letter of recommendation (with their contact information). The closing date for applications is September 30, 2021 (or until filled).
McGill University is situated in the heart of Montréal, Canada, a vibrant city and the metropolis of Québec. Language and neuroscience are both strategic research priorities at McGill, which has gained an enviable reputation in this domain. For information about postdoctoral studies at McGill, see www.mcgill.ca/gps/postdocs.
Inquiries should be sent directly to Dr. Marc Pell (marc.pell@mcgill.ca). For complete information and application details, please go to:
https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/McGill-College-2001/Postdoctoral-Researcher_JR0000014128
✔️ @ApplyTime
Neuropragmatics and Emotion Lab
Post-Doctoral Research Associate for the Human Pleasure Project
The Human Pleasure Project (part of For Goodness Sake LLC; PI: Joshua Buckholtz PhD) is seeking a Full-time Post-Doctoral Research Associate for exciting projects focused on the science of human pleasure and
flourishing. For Goodness Sake LLC has developed an online, resource-based intervention that improves women’s’ sexual agency, advocacy and pleasure. The Human Pleasure Project was created to identify the
cognitive mechanisms through which person-centered interventions that enhance sexual pleasure and agency increase overall well-being.
Primary Objectives:
Understanding how the experience of sexual pleasure and agency influence other forms of well-being, such as social connectedness, positive affect and hedonic responsiveness, stress resilience, self-efficacy, and productivity.
Uncovering latent patterns of individual difference in the experience sexual pleasure and well-being
Discover how beliefs about pleasure develop, spread and change within social networks
Create novel objective measures for assessing multiple aspects of reward, motivation and belief (e.g., hedonic insight, granularity, implicit attitudes toward pleasure.
The candidate will have the opportunity to work with very large existing datasets (>500,000 participants) and gain experience designing and implementing large-scale, longitudinal intervention studies in large, nationally representative samples. The candidate will be expected and encouraged to produce first-authored publications, and we will do everything we can to support your career. This is a full-time position based in
Cambridge, MA (though remote work will be considered for exceptional candidates). The position offers a competitive salary, a healthy work/life balance, and a great benefits package, including health, dental, vision,
life and gym.
Responsibilities
The Post-Doctoral Research Associate’s primary responsibilities will include: (1) designing novel experimental tasks; (2) data acquisition via web-based cognitive testing; 3) data analysis and manunoscript preparation; 4) development and implementation of smartphone-based deep phenotyping for use in mechanistic and intervention studies. Other responsibilities include working with Lab Manager to develop and maintain a
research infrastructure and assist with administrative/regulatory activities (e.g. IRB protocols).
Requirements
Ph.D. or equivalent with background in a psychological science discipline (especially social/affective psychology). Individuals with other quantitative backgrounds (e.g. cognitive neuroscience, data science,
bioengineering, statistics) and computer science will also receive consideration. Candidates should have proficiency with basic computing packages such as MS Word and Excel; expertise with advanced statistical
software (e.g. R, Python) and techniques (e.g. multivariate statistics, time-series analysis, computational modeling) is required.
Familiarity with any of the following will confer a considerable advantage: experience with the objective assessment of implicit bias and/or latent beliefs about self and others; experience with social network analysis,
Machine Learning/Natural Language Processing, latent variable analysis (e.g. latent class/profile analysis). Strong interpersonal skills, prior research experience, high level of organization with careful attention to detail, and technical expertise are absolutely required. This position requires a high degree of motivation and self-sufficiency, although extensive training and supervision will be provided.
Details
To apply, please email a brief cover letter describing relevant experience, research interests and career goals, CV and contact information to Dr. Joshua Buckholtz (PI, Human Pleasure Project; Head of Research, For
Goodness Sake LLC) at jobs@fgsake.org.
The Human Pleasure Project (part of For Goodness Sake LLC; PI: Joshua Buckholtz PhD) is seeking a Full-time Post-Doctoral Research Associate for exciting projects focused on the science of human pleasure and
flourishing. For Goodness Sake LLC has developed an online, resource-based intervention that improves women’s’ sexual agency, advocacy and pleasure. The Human Pleasure Project was created to identify the
cognitive mechanisms through which person-centered interventions that enhance sexual pleasure and agency increase overall well-being.
Primary Objectives:
Understanding how the experience of sexual pleasure and agency influence other forms of well-being, such as social connectedness, positive affect and hedonic responsiveness, stress resilience, self-efficacy, and productivity.
Uncovering latent patterns of individual difference in the experience sexual pleasure and well-being
Discover how beliefs about pleasure develop, spread and change within social networks
Create novel objective measures for assessing multiple aspects of reward, motivation and belief (e.g., hedonic insight, granularity, implicit attitudes toward pleasure.
The candidate will have the opportunity to work with very large existing datasets (>500,000 participants) and gain experience designing and implementing large-scale, longitudinal intervention studies in large, nationally representative samples. The candidate will be expected and encouraged to produce first-authored publications, and we will do everything we can to support your career. This is a full-time position based in
Cambridge, MA (though remote work will be considered for exceptional candidates). The position offers a competitive salary, a healthy work/life balance, and a great benefits package, including health, dental, vision,
life and gym.
Responsibilities
The Post-Doctoral Research Associate’s primary responsibilities will include: (1) designing novel experimental tasks; (2) data acquisition via web-based cognitive testing; 3) data analysis and manunoscript preparation; 4) development and implementation of smartphone-based deep phenotyping for use in mechanistic and intervention studies. Other responsibilities include working with Lab Manager to develop and maintain a
research infrastructure and assist with administrative/regulatory activities (e.g. IRB protocols).
Requirements
Ph.D. or equivalent with background in a psychological science discipline (especially social/affective psychology). Individuals with other quantitative backgrounds (e.g. cognitive neuroscience, data science,
bioengineering, statistics) and computer science will also receive consideration. Candidates should have proficiency with basic computing packages such as MS Word and Excel; expertise with advanced statistical
software (e.g. R, Python) and techniques (e.g. multivariate statistics, time-series analysis, computational modeling) is required.
Familiarity with any of the following will confer a considerable advantage: experience with the objective assessment of implicit bias and/or latent beliefs about self and others; experience with social network analysis,
Machine Learning/Natural Language Processing, latent variable analysis (e.g. latent class/profile analysis). Strong interpersonal skills, prior research experience, high level of organization with careful attention to detail, and technical expertise are absolutely required. This position requires a high degree of motivation and self-sufficiency, although extensive training and supervision will be provided.
Details
To apply, please email a brief cover letter describing relevant experience, research interests and career goals, CV and contact information to Dr. Joshua Buckholtz (PI, Human Pleasure Project; Head of Research, For
Goodness Sake LLC) at jobs@fgsake.org.
ABOUT THE COMPANY
For Goodness Sake conducts large-scale scientific research to gather discoveries about taboo parts of life from tens of thousands of people. We then spread that knowledge through user-centered, radically open and
honest online experiences.
OMGYES.com is our flagship product, tastefully and straightforwardly presenting the array of ways women have discovered to have more sexual agency, confidence and pleasure. Psychology Today called OMGYES,
"warm, wise, tasteful and fun." The London Times called it, "nothing less than the next wave of an unfinished sexual revolution."
We’ve enjoyed great success and profitability from an increasing rate of organic word-of-mouth growth and MDs and clinicians recommending OMGYES. Our next phase of growth is to scale our process so we can
research and create impact in other important parts of life
✔️ @ApplyTime
For Goodness Sake conducts large-scale scientific research to gather discoveries about taboo parts of life from tens of thousands of people. We then spread that knowledge through user-centered, radically open and
honest online experiences.
OMGYES.com is our flagship product, tastefully and straightforwardly presenting the array of ways women have discovered to have more sexual agency, confidence and pleasure. Psychology Today called OMGYES,
"warm, wise, tasteful and fun." The London Times called it, "nothing less than the next wave of an unfinished sexual revolution."
We’ve enjoyed great success and profitability from an increasing rate of organic word-of-mouth growth and MDs and clinicians recommending OMGYES. Our next phase of growth is to scale our process so we can
research and create impact in other important parts of life
✔️ @ApplyTime
Looking for PhD students and post-doctoral researchers
Dear colleagues and students,
The IDLab research group of the University of Antwerp and imec, has several interesting open positions. We're looking both for enthusiastic PhD students and senior post-doctoral researchers. More specifically, we have the following open positions
PhD Students
PhD Vacancy in Artificial Intelligence for Graph Evolution Prediction: working on GNNs and its application to process control in domains such as chemical engineering, water treatment and HVAC.
PhD Vacancy on Next Generation AI for Perception and Cognition: working on next generation neural network architectures such as spiking neural networks and hyperdimensional computing
PhD Vacancy in Artificial Intelligence for an Automated Lab: automating process control systems in the pharmaceutical sector
Senior researchers
Senior Researcher on Causal Artificial Intelligence: leading a small team of PhD students working on topics such as causal machine learning and relational learning
Artificial Intelligence Project Manager: translating machine learning research to applied projects in collaboration with industry.
All these positions can be found at https://jobs.idlab.uantwerpen.be/
Feel free to forward this mail to anyone that comes to mind.
Thanks in advance,
Steven Latre
steven.latre@uantwerpen.be
--
prof. dr. Steven Latré
Director
at IDlab, University of Antwerp, in collaboration with imec
steven.latre@uantwerpen.be
The Beacon I Sint-Pietersvliet 7 I 2000 Antwerpen I Belgium
✔️ @ApplyTime
Dear colleagues and students,
The IDLab research group of the University of Antwerp and imec, has several interesting open positions. We're looking both for enthusiastic PhD students and senior post-doctoral researchers. More specifically, we have the following open positions
PhD Students
PhD Vacancy in Artificial Intelligence for Graph Evolution Prediction: working on GNNs and its application to process control in domains such as chemical engineering, water treatment and HVAC.
PhD Vacancy on Next Generation AI for Perception and Cognition: working on next generation neural network architectures such as spiking neural networks and hyperdimensional computing
PhD Vacancy in Artificial Intelligence for an Automated Lab: automating process control systems in the pharmaceutical sector
Senior researchers
Senior Researcher on Causal Artificial Intelligence: leading a small team of PhD students working on topics such as causal machine learning and relational learning
Artificial Intelligence Project Manager: translating machine learning research to applied projects in collaboration with industry.
All these positions can be found at https://jobs.idlab.uantwerpen.be/
Feel free to forward this mail to anyone that comes to mind.
Thanks in advance,
Steven Latre
steven.latre@uantwerpen.be
--
prof. dr. Steven Latré
Director
at IDlab, University of Antwerp, in collaboration with imec
steven.latre@uantwerpen.be
The Beacon I Sint-Pietersvliet 7 I 2000 Antwerpen I Belgium
✔️ @ApplyTime
Postdoctoral Research Fellowship at University of North Carolina at Chapel Hill
Hi everyone!
A postdoctoral research fellowship position at the University of North Carolina-Chapel Hill School of Nursing is open. This position aims to attract a postdoctoral fellow who is interested in symptom sciences, family research, digital health intervention, and health disparities among cancer survivors and their family caregivers. The successful candidate will conduct NIH and DOD funded research focusing on cancer survivorship and multilevel intervention, including but not limited to data collection, data analysis, intervention development and implementation. The research fellow will participate in designing innovative methods such as advanced machine learning and smart designs to provide personalized and user-friendly interventions that have the real-world impacts. These studies provide an excellent opportunity for the research fellow to work within a multidisciplinary research team that will prepare them for further faculty and industry positions.
Successful candidates will be highly motivated, and be able to identify potential problems and develop solutions, be able to plan and carry out research experiments and projects have strong written and oral communication skills, be able to work independently and participate productively as a team member, and be familiar with research methodology and statistical methods.
In addition, the research fellow will have the opportunity to propose research projects that will be suitable for external funding. The research fellow will be encouraged to prepare and submit a career development award proposal as well as other research proposals as appropriate and to lead publications.
If you are interested, please apply here: https://unc.peopleadmin.com/postings/195915. Thank you!
✔️ @ApplyTime
Hi everyone!
A postdoctoral research fellowship position at the University of North Carolina-Chapel Hill School of Nursing is open. This position aims to attract a postdoctoral fellow who is interested in symptom sciences, family research, digital health intervention, and health disparities among cancer survivors and their family caregivers. The successful candidate will conduct NIH and DOD funded research focusing on cancer survivorship and multilevel intervention, including but not limited to data collection, data analysis, intervention development and implementation. The research fellow will participate in designing innovative methods such as advanced machine learning and smart designs to provide personalized and user-friendly interventions that have the real-world impacts. These studies provide an excellent opportunity for the research fellow to work within a multidisciplinary research team that will prepare them for further faculty and industry positions.
Successful candidates will be highly motivated, and be able to identify potential problems and develop solutions, be able to plan and carry out research experiments and projects have strong written and oral communication skills, be able to work independently and participate productively as a team member, and be familiar with research methodology and statistical methods.
In addition, the research fellow will have the opportunity to propose research projects that will be suitable for external funding. The research fellow will be encouraged to prepare and submit a career development award proposal as well as other research proposals as appropriate and to lead publications.
If you are interested, please apply here: https://unc.peopleadmin.com/postings/195915. Thank you!
✔️ @ApplyTime
Peopleadmin
Postdoctoral Research Fellowship
A postdoctoral research fellowship position at the University of North Carolina-Chapel Hill School of Nursing is open. This position aims to attract a postdoctoral fellow who is interested in symptom sciences, family research, digital health intervention…
Postoctoral Research Fellow at the University of Pennsylvania
The Department of Statistics and Data Science of the Wharton School, University of Pennsylvania, is seeking candidates for a Postdoctoral Researcher position under the supervision of Professor Edgar Dobriban. The focus of the research will be in the theoretical foundations of large scale data analysis, and specifically on connections between randomized sketching and statistical inference. The earliest start date is September 1, 2021. The position will continue for up to three years.
The position is designed to be a career-building step for new scholars. The primary focus is for the scholar to develop her/his research program. A competitive stipend will be provided.
Successful candidates will have opportunities to submit papers to top statistics, data science, numerical analysis, optimization, and machine learning journals and conferences. The candidates will also present their research at conferences in these fields.
Qualifications
Candidates should show outstanding capacity for research, and a promising publication record in leading venues in statistics, machine learning, data science, numerical analysis, applied probability, and/or optimization.
Applicants must have a Ph.D. in statistics, computer science, electrical engineering, applied math, or a related field from an accredited institution.
Application Instructions
Please send CV, research statement, and names/e-mail addresses of three potential letter writers to Professor Dobriban at dobriban@wharton.upenn.edu. Applications are reviewed on a rolling basis. Any questions about the position can be sent to Professor Dobriban at dobriban@wharton.upenn.edu
The University of Pennsylvania is an EOE. Minorities / Women / Individuals with disabilities / Protected veterans are encouraged to apply.
--
Edgar Dobriban
Assistant Professor of Statistics & Computer and Information Science
The Wharton School & SEAS, University of Pennsylvania
statistics.wharton.upenn.edu/profile/dobriban
✔️ @ApplyTime
The Department of Statistics and Data Science of the Wharton School, University of Pennsylvania, is seeking candidates for a Postdoctoral Researcher position under the supervision of Professor Edgar Dobriban. The focus of the research will be in the theoretical foundations of large scale data analysis, and specifically on connections between randomized sketching and statistical inference. The earliest start date is September 1, 2021. The position will continue for up to three years.
The position is designed to be a career-building step for new scholars. The primary focus is for the scholar to develop her/his research program. A competitive stipend will be provided.
Successful candidates will have opportunities to submit papers to top statistics, data science, numerical analysis, optimization, and machine learning journals and conferences. The candidates will also present their research at conferences in these fields.
Qualifications
Candidates should show outstanding capacity for research, and a promising publication record in leading venues in statistics, machine learning, data science, numerical analysis, applied probability, and/or optimization.
Applicants must have a Ph.D. in statistics, computer science, electrical engineering, applied math, or a related field from an accredited institution.
Application Instructions
Please send CV, research statement, and names/e-mail addresses of three potential letter writers to Professor Dobriban at dobriban@wharton.upenn.edu. Applications are reviewed on a rolling basis. Any questions about the position can be sent to Professor Dobriban at dobriban@wharton.upenn.edu
The University of Pennsylvania is an EOE. Minorities / Women / Individuals with disabilities / Protected veterans are encouraged to apply.
--
Edgar Dobriban
Assistant Professor of Statistics & Computer and Information Science
The Wharton School & SEAS, University of Pennsylvania
statistics.wharton.upenn.edu/profile/dobriban
✔️ @ApplyTime
Department of Statistics and Data Science
Edgar Dobriban – Department of Statistics and Data Science
Postdoc, RA & Ph.D. student positions in collaborative/federated learning, data valuation, incentive-aware mechanism design & machine unlearning at National University of Singapore
We are hiring postdoctoral fellows and research assistants interested in advancing the state of the art in collaborative/federated/multi-party learning (incentive-aware mechanism design, data valuation, privacy, heterogeneous black-box model fusion) and machine unlearning, with application to trusted data/model sharing for a period of 1 year with possible renewal/extension.
The postdoctoral fellows and research assistants will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to collaborate with/co-advise the PhD and undergraduate students in our research group.
For more information on our research group, interests, and recent papers in ICML, NeurIPS, UAI, AISTATS, and AAAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html). In particular, see the tab on "Trusted Model/Data Sharing and Data Valuation".
A recorded seminar on our recent works is also available here: http://youtu.be/IhizVZdUv6k
The postdoctoral fellow, research assistant, and Ph.D. student positions are financially supported by a 4-year AI Singapore research grant award noscriptd "Toward Trustable Model-centric Sharing for Collaborative Machine Learning" (https://ids.nus.edu.sg/TrustedCollabML.html).
For the postdoc positions, a successful candidate should have a Ph.D. in computer science and engineering, machine learning, statistics, math, data science, operations research or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.
For the RA position, a successful candidate should have a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses). A good publication record in the premier machine learning and AI conferences and/or journals is a bonus. He/she must have a strong proficiency in programming.
If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise denoscription of research interests and future plans, and academic trannoscripts to:
Dr. Bryan Low and See-Kiong Ng
Emails: lo...@comp.nus.edu.sg, ng...@comp.nus.edu.sg
Websites: https://www.comp.nus.edu.sg/~lowkh/research.html, https://ids.nus.edu.sg/TrustedCollabML.html
We will begin reviewing applications for the positions immediately.
--
Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director, AI Research & Technology, AI Singapore
✔️ @ApplyTime
We are hiring postdoctoral fellows and research assistants interested in advancing the state of the art in collaborative/federated/multi-party learning (incentive-aware mechanism design, data valuation, privacy, heterogeneous black-box model fusion) and machine unlearning, with application to trusted data/model sharing for a period of 1 year with possible renewal/extension.
The postdoctoral fellows and research assistants will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to collaborate with/co-advise the PhD and undergraduate students in our research group.
For more information on our research group, interests, and recent papers in ICML, NeurIPS, UAI, AISTATS, and AAAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html). In particular, see the tab on "Trusted Model/Data Sharing and Data Valuation".
A recorded seminar on our recent works is also available here: http://youtu.be/IhizVZdUv6k
The postdoctoral fellow, research assistant, and Ph.D. student positions are financially supported by a 4-year AI Singapore research grant award noscriptd "Toward Trustable Model-centric Sharing for Collaborative Machine Learning" (https://ids.nus.edu.sg/TrustedCollabML.html).
For the postdoc positions, a successful candidate should have a Ph.D. in computer science and engineering, machine learning, statistics, math, data science, operations research or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.
For the RA position, a successful candidate should have a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses). A good publication record in the premier machine learning and AI conferences and/or journals is a bonus. He/she must have a strong proficiency in programming.
If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise denoscription of research interests and future plans, and academic trannoscripts to:
Dr. Bryan Low and See-Kiong Ng
Emails: lo...@comp.nus.edu.sg, ng...@comp.nus.edu.sg
Websites: https://www.comp.nus.edu.sg/~lowkh/research.html, https://ids.nus.edu.sg/TrustedCollabML.html
We will begin reviewing applications for the positions immediately.
--
Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director, AI Research & Technology, AI Singapore
✔️ @ApplyTime
YouTube
Trusted Data Sharing: Incentivizing Collaboration and Rights to be Forgotten in Machine Learning
Speaker: Dr Bryan Low (https://www.comp.nus.edu.sg/~lowkh/research.html)
Organized as part of 2020 N-CRiPT Public Seminar series: https://ncript.comp.nus.edu.sg/event/n-cript-public-seminar-trusted-data-sharing/
Organized as part of 2020 N-CRiPT Public Seminar series: https://ncript.comp.nus.edu.sg/event/n-cript-public-seminar-trusted-data-sharing/
👍1
Postdoc, RA & Ph.D. student positions in AutoML, Bayesian optimization, Bayesian deep learning & multi-agent RL at National University of Singapore
We are hiring postdoctoral fellows, research assistants, and Ph.D. students interested in advancing the state of the art in learning with less data (AutoML, Bayesian optimization, meta-learning, active learning) and Bayesian deep learning, with applications to multi-agent reinforcement learning, precision agriculture, and advanced manufacturing for a period of 1 year with possible renewal/extension.
The postdoctoral fellows, research assistants, and Ph.D. students will be based in the School of Computing of the National University of Singapore (NUS). The postdoctoral fellows have the opportunity to collaborate with/co-advise the PhD and undergraduate students in our research group.
For more information on our research group, interests, and recent papers in ICML, NeurIPS, UAI, AISTATS, and AAAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html.
A recorded seminar on our recent works is available here: https://www.youtube.com/watch?v=DvE19gy1U0c.
The postdoctoral fellow and research assistant positions are financially supported by multiple 3- to 4-year research grants involving learning with less data, probabilistic machine learning, and multi-agent reinforcement learning.
For the postdoc positions, a successful candidate should have a Ph.D. in computer science, computer engineering, machine learning, statistics, math, data science, operations research or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.
For the RA and Ph.D. student positions, a successful candidate should have a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses). A good publication record in the premier machine learning and AI conferences and/or journals is a bonus. He/she must have a strong proficiency in programming.
If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise denoscription of research interests and future plans, and academic trannoscripts to:
Dr. Bryan Low
Email: lowkh@comp.nus.edu.sg
Website: https://www.comp.nus.edu.sg/~lowkh/research.html
We will begin reviewing applications for the positions immediately.
--
Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director, AI Research, AI Singapore
We are hiring postdoctoral fellows, research assistants, and Ph.D. students interested in advancing the state of the art in learning with less data (AutoML, Bayesian optimization, meta-learning, active learning) and Bayesian deep learning, with applications to multi-agent reinforcement learning, precision agriculture, and advanced manufacturing for a period of 1 year with possible renewal/extension.
The postdoctoral fellows, research assistants, and Ph.D. students will be based in the School of Computing of the National University of Singapore (NUS). The postdoctoral fellows have the opportunity to collaborate with/co-advise the PhD and undergraduate students in our research group.
For more information on our research group, interests, and recent papers in ICML, NeurIPS, UAI, AISTATS, and AAAI, visit https://www.comp.nus.edu.sg/~lowkh/research.html.
A recorded seminar on our recent works is available here: https://www.youtube.com/watch?v=DvE19gy1U0c.
The postdoctoral fellow and research assistant positions are financially supported by multiple 3- to 4-year research grants involving learning with less data, probabilistic machine learning, and multi-agent reinforcement learning.
For the postdoc positions, a successful candidate should have a Ph.D. in computer science, computer engineering, machine learning, statistics, math, data science, operations research or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.
For the RA and Ph.D. student positions, a successful candidate should have a Bachelor’s degree in computer science and engineering, statistics, math, data science, operations research or other related disciplines from a reputable university and a strong academic track record (especially in math, statistics, and algorithms courses). A good publication record in the premier machine learning and AI conferences and/or journals is a bonus. He/she must have a strong proficiency in programming.
If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with academic ranking (if any) and publication list, a concise denoscription of research interests and future plans, and academic trannoscripts to:
Dr. Bryan Low
Email: lowkh@comp.nus.edu.sg
Website: https://www.comp.nus.edu.sg/~lowkh/research.html
We will begin reviewing applications for the positions immediately.
--
Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director, AI Research, AI Singapore
YouTube
Learning with Less Data Data Efficient Probabilistics ML by Bryan Low
The official channel of the NUS Department of Computer Science
Looking for PhD students and post-doctoral researchers
Dear colleagues and students,
The IDLab research group of the University of Antwerp and imec, has several interesting open positions. We're looking both for enthusiastic PhD students and senior post-doctoral researchers. More specifically, we have the following open positions
PhD Students
PhD Vacancy in Artificial Intelligence for Graph Evolution Prediction: working on GNNs and its application to process control in domains such as chemical engineering, water treatment and HVAC.
PhD Vacancy on Next Generation AI for Perception and Cognition: working on next generation neural network architectures such as spiking neural networks and hyperdimensional computing
PhD Vacancy in Artificial Intelligence for an Automated Lab: automating process control systems in the pharmaceutical sector
Senior researchers
Senior Researcher on Causal Artificial Intelligence: leading a small team of PhD students working on topics such as causal machine learning and relational learning
Artificial Intelligence Project Manager: translating machine learning research to applied projects in collaboration with industry.
All these positions can be found at https://jobs.idlab.uantwerpen.be/
Feel free to forward this mail to anyone that comes to mind.
Thanks in advance,
Steven Latre
steven.latre@uantwerpen.be
--
prof. dr. Steven Latré
Director
at IDlab, University of Antwerp, in collaboration with imec
steven.latre@uantwerpen.be
The Beacon I Sint-Pietersvliet 7 I 2000 Antwerpen I Belgium
✔️ @ApplyTime
🌐 https://applytime.ir
Dear colleagues and students,
The IDLab research group of the University of Antwerp and imec, has several interesting open positions. We're looking both for enthusiastic PhD students and senior post-doctoral researchers. More specifically, we have the following open positions
PhD Students
PhD Vacancy in Artificial Intelligence for Graph Evolution Prediction: working on GNNs and its application to process control in domains such as chemical engineering, water treatment and HVAC.
PhD Vacancy on Next Generation AI for Perception and Cognition: working on next generation neural network architectures such as spiking neural networks and hyperdimensional computing
PhD Vacancy in Artificial Intelligence for an Automated Lab: automating process control systems in the pharmaceutical sector
Senior researchers
Senior Researcher on Causal Artificial Intelligence: leading a small team of PhD students working on topics such as causal machine learning and relational learning
Artificial Intelligence Project Manager: translating machine learning research to applied projects in collaboration with industry.
All these positions can be found at https://jobs.idlab.uantwerpen.be/
Feel free to forward this mail to anyone that comes to mind.
Thanks in advance,
Steven Latre
steven.latre@uantwerpen.be
--
prof. dr. Steven Latré
Director
at IDlab, University of Antwerp, in collaboration with imec
steven.latre@uantwerpen.be
The Beacon I Sint-Pietersvliet 7 I 2000 Antwerpen I Belgium
✔️ @ApplyTime
🌐 https://applytime.ir
Postdoctoral Position in Computational Imaging and Machine Learning
The Department of Radiology at Michigan Medicine of the University of Michigan has an immediate opening at the postdoctoral level for individuals interested in development and application of advanced image-based analytical techniques in the field of thoracic radiology. The ideal candidate would have experience in signal & image processing, computer vision, computational imaging and machine learning applied to medical imaging.
Interested applicants please apply to the advertisement here: http://www.umich.edu/~cgalbanlab/pdf/Postdoc.pdf
Regards,
Sundaresh Ram
✔️ @ApplyTime
The Department of Radiology at Michigan Medicine of the University of Michigan has an immediate opening at the postdoctoral level for individuals interested in development and application of advanced image-based analytical techniques in the field of thoracic radiology. The ideal candidate would have experience in signal & image processing, computer vision, computational imaging and machine learning applied to medical imaging.
Interested applicants please apply to the advertisement here: http://www.umich.edu/~cgalbanlab/pdf/Postdoc.pdf
Regards,
Sundaresh Ram
✔️ @ApplyTime
Two Fully Funded PhD Positions in University of Jyväskylä, Finland
Faculty of Information Technology (cognitive science), University of Jyväskylä, Finland, is looking for two PhD students (fully funded for 2+2 years) in the intersection of computer science and cognitive science.
The positions are in two collaborating projects funded by Academy of Finland. The project "Machines that Understand People" develops RL-based computational cognitive models of human-computer interaction. The project “Appropriate Uncertainty in Manual and Automated Driving” develops computational models of driver’s information sampling.
The successful candidates should have:
- Master in computer science, cognitive science, human-computer interaction, or a related field
- Programming skills (e.g., Python)
- Statistical skills (e.g., Bayesian statistics)
- Interest in the research of reinforcement learning and computational cognitive models
- Motivation to obtain a doctoral degree
- English communication skills
The PhD students will work under the supervision of Dr. Jussi Jokinen and Dr. Tuomo Kujala, as part of Human-Technology Interaction research group (https://www.jyu.fi/it/en/research/research-areas/cognitive-science-and-educational-technology/hti).
Please send your CV, along with a letter of interest, to tuomo.kujala@jyu.fi no later than August 31, 2021. The positions are scheduled to start in September/October 2021.
For more information, please contact tuomo.kujala@jyu.fi or jussi.p.p.jokinen@jyu.fi
✔️ @ApplyTime
Faculty of Information Technology (cognitive science), University of Jyväskylä, Finland, is looking for two PhD students (fully funded for 2+2 years) in the intersection of computer science and cognitive science.
The positions are in two collaborating projects funded by Academy of Finland. The project "Machines that Understand People" develops RL-based computational cognitive models of human-computer interaction. The project “Appropriate Uncertainty in Manual and Automated Driving” develops computational models of driver’s information sampling.
The successful candidates should have:
- Master in computer science, cognitive science, human-computer interaction, or a related field
- Programming skills (e.g., Python)
- Statistical skills (e.g., Bayesian statistics)
- Interest in the research of reinforcement learning and computational cognitive models
- Motivation to obtain a doctoral degree
- English communication skills
The PhD students will work under the supervision of Dr. Jussi Jokinen and Dr. Tuomo Kujala, as part of Human-Technology Interaction research group (https://www.jyu.fi/it/en/research/research-areas/cognitive-science-and-educational-technology/hti).
Please send your CV, along with a letter of interest, to tuomo.kujala@jyu.fi no later than August 31, 2021. The positions are scheduled to start in September/October 2021.
For more information, please contact tuomo.kujala@jyu.fi or jussi.p.p.jokinen@jyu.fi
✔️ @ApplyTime
Informaatioteknologian tiedekunta
Human-Technology Interaction (Cognitive Science)
Tutkimusryhmän sivu
Postdoc at the University of Nebraska-Lincoln
The Cognitive and Affective Neuroscience Lab at the University of Nebraska-Lincoln (PI: Maital Neta) invites applications for a full-time Postdoctoral Researcher (start date negotiable). The postdoc will contribute to NIMH- and NSF-funded research examining individual differences in emotion processing and emotion regulation across the lifespan.
The successful candidate will have completed a PhD in psychology, neuroscience, or a related field and have a strong publication record that includes neuroimaging studies, preferably with a focus on using fMRI to examine theoretically relevant questions in cognitive psychology and emotion in particular. Candidates with substantial prior experience using advanced MRI methods (e.g., resting state MRI, MVPA, network analyses), psychophysiology and/or with eye tracking are uniquely attractive. Strong technical skills are preferred, including competence in several programming environments, and familiarity with programs such as E-prime, R, Matlab, Python, AFNI, SPM, FSL, and Unix is especially valued but not required and otherwise would be learned on the job.
The lab is housed in the Center for Brain, Biology, & Behavior at UNL (http://cb3.unl.edu/), which has a state-of-the-art Brain Imaging Center and a 3T MRI scanner dedicated for research. Beyond having access to the scanner, the postdoctoral fellow will also have access to with EEG/ERP, fNIRS, tDCS, virtual reality, mobile psychophysiology, eye-tracking (many of which can be measured both in and out of the MRI scanner), as well as several other cutting-edge techniques.
The position is available immediately, but the start date can be flexible. We will begin reviewing applications immediately, and continue reviewing them on a rolling basis until the position is filled. Salary is commensurate with experience, and includes health benefits.
To apply, please fill out the application form at https://tinyurl.com/slqmovm. You will need your CV and the contact information for three references. Please also feel free to contact Maital Neta (mneta2@unl.edu) for more information.
✔️ @ApplyTime
The Cognitive and Affective Neuroscience Lab at the University of Nebraska-Lincoln (PI: Maital Neta) invites applications for a full-time Postdoctoral Researcher (start date negotiable). The postdoc will contribute to NIMH- and NSF-funded research examining individual differences in emotion processing and emotion regulation across the lifespan.
The successful candidate will have completed a PhD in psychology, neuroscience, or a related field and have a strong publication record that includes neuroimaging studies, preferably with a focus on using fMRI to examine theoretically relevant questions in cognitive psychology and emotion in particular. Candidates with substantial prior experience using advanced MRI methods (e.g., resting state MRI, MVPA, network analyses), psychophysiology and/or with eye tracking are uniquely attractive. Strong technical skills are preferred, including competence in several programming environments, and familiarity with programs such as E-prime, R, Matlab, Python, AFNI, SPM, FSL, and Unix is especially valued but not required and otherwise would be learned on the job.
The lab is housed in the Center for Brain, Biology, & Behavior at UNL (http://cb3.unl.edu/), which has a state-of-the-art Brain Imaging Center and a 3T MRI scanner dedicated for research. Beyond having access to the scanner, the postdoctoral fellow will also have access to with EEG/ERP, fNIRS, tDCS, virtual reality, mobile psychophysiology, eye-tracking (many of which can be measured both in and out of the MRI scanner), as well as several other cutting-edge techniques.
The position is available immediately, but the start date can be flexible. We will begin reviewing applications immediately, and continue reviewing them on a rolling basis until the position is filled. Salary is commensurate with experience, and includes health benefits.
To apply, please fill out the application form at https://tinyurl.com/slqmovm. You will need your CV and the contact information for three references. Please also feel free to contact Maital Neta (mneta2@unl.edu) for more information.
✔️ @ApplyTime
cb3.unl.edu
UNL | Center for Brain, Biology and Behavior