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.


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Regards,
Bryan Low
Associate Professor of Computer Science, National University of Singapore
Director, AI Research, AI Singapore

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

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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


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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

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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

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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.

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A funded PhD position is still available in our group to work in an exciting area of ‘Perovskite Nanocrystals for Solar-Driven Electricity and Hydrogen Generation’.
Come and wor #cleanenergy k with us at UNSW Engineering.
Suitable for applicants currently in Australia/New Zealand with a background in #nanotechnology #chemistry #materialsscience
and #devicephysics.
Deadline: 27th August 2021.
More info here: https://research.unsw.edu.au/people/dr-mahesh-suryawanshi

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Two postdoctoral fellowships in Statistics (FGV EMAp) Rio de Janeiro, Brazil

Postdoctoral fellowship in Statistics
The School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) in Rio de Janeiro, Brazil, invites applications for two postdoctoral fellowships in Statistics beginning no later than December 31st, 2021.

We are looking for early-career researchers to develop innovative research in Statistics and Data Science. Individuals with applied and methodological interests in statistics for large complex data or financial/actuarial statistics. Candidates whose research interests intersect with the research agenda of other members of the department will be given priority.

The successful candidate is expected to develop collaborative research within the department, supporting our ongoing expansion in the area. It is also expected the post holder will collaborate with the members of the group on the application process for external funding. Light teaching duty may be required. Remote applicants will be considered.

Qualifications
The successful candidate is expected to hold a Ph.D. in statistics, or related discipline, by the time of the appointment. We expect the applicant to have an expanding track of publications and a strong potential of publishing in top ranked Statistics journals. The successful candidate will also possess excellent communication and presentation skills.

About us
Getulio Vargas Foundation (FGV) is a distinguished and internationally renowned Brazilian higher-learning institution dedicated to the intellectual development of the nation. The School of Applied Mathematics (EMAp) located in Rio de Janeiro, has as its main goals to contribute with the effort of FGV towards innovation through the use of Mathematics in its numerous areas of application, especially the Applied Social Sciences.

We are a growing department that aspires to be top ranked in Latin America and world-wide. The School of Applied Mathematics currently offers Ph.D., M.Sc., and undergraduate degrees in applied mathematics and Data Science. We also have an ongoing Postdoctoral Fellowship program. In 2020 a research center for Data Sciences was created, boosting investigation in the area.

Application
Academics with appropriate qualifications are kindly invited to send their applications electronically to postdoc.emap@fgv.br, including:
Cover letter which describes your experience, interests and suitability for the position;
Curriculum vitae; and
A list of academic articles showcasing the applicant’s research.

The applicant should also provide at least two reference letters, addressing your research qualifications and accomplishments, to be sent directly to the hiring committee.

Applications (including reference letters) received by August 29, 2021 (extended to September 30, 2021) will receive full consideration.

Informal inquiries can be addressed to Profs. Eduardo Mendes (eduardo.mendes@fgv.br), Rodrigo Targino (rodrigo.targino@fgv.br) and Luiz Max Carvalho (luiz.fagundes@fgv.br).

Salary and Benefits
This position is a 24 months fixed term contract with possibility of extending it for another 12 months. We offer an internationally competitive salary compatible with previous experience and accomplishments.

Further considerations
FGV is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, ethnicity, sex (including gender identity), national origin, disability status, age, sexual orientation, or any other characteristic protected by law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.

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PhD position at the university of Neuchatel

We are looking for a PhD student to join our group on reinforcement learning and decision making at the University of Neuchatel, Switzerland ( https://www.unine.ch/ ). We are particularly interested in candidates with a strong mathematical background. Prior research experience as documented by your Masters thesis will be an additional bonus. Although any area in the intersection of machine learning, statistics and artificial intelligence may be considered, we are primarily looking for a student with a sincere interest in one or more of the following areas:

1. Reinforcement learning
2. Privacy (e.g. differential privacy)
3. Fairness in machine learning.

Examples of our group's past and current research can be found on arxiv: https://arxiv.org/search/?searchtype=author&query=Dimitrakakis%2C+C. The student will have the opportunity to visit and work with other group members at the University of Oslo, Norway ( https://www.mn.uio.no/ifi/english/people/aca/chridim/index.html ) and Chalmers University of Technology, Sweden ( http://www.cse.chalmers.se/~chrdimi/ ). The position is available from 1 Februrary 2022.

For further information, please contact me directly at christos.dimitrakakis@gmail.com with the subject 'PhD Neuchatel'.

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Deadline August 31: 5 PhD scholarships at the Center for Basic Machine Learning Research in Life Science (MLLS), University of Copenhagen and the Technical University of Denmark

Are you our new colleague?
The Center for Basic Machine Learning Research in Life Science (MLLS) gathers machine learning researchers from the Departments of Biology and Computer Science, University of Copenhagen (UCPH) and DTU Compute, the Technical University of Denmark (DTU).

We offer a workplace that aims to conduct world class research in machine learning methodology that simultaneously addresses important problems for applications in life science and has a wider relevance for machine learning.

5 PhD scholarships are open with starting date November 1st 2021 or as soon as possible thereafter. For information on how to apply, as well as on the individual projects, please see:

https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentId=18965&ProjectId=154385&MediaId=5&SkipAdvertisement=false

Copenhagen is a great place to live and work, combining the fun of an international city with a life- and family-friendly work culture.

We look forward to hearing from you!

Aasa Feragen
Wouter Boomsma
Søren Hauberg
Jes Frellsen
Anders Krogh
Ole Winther

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Research Assistant Position in Functional Neuroimaging

The Center for Functional and Molecular Imaging (CFMI) located at Georgetown University, is looking to hire two full-time research assistants with a strong interest in cognitive neuroscience and brain imaging.

CFMI is a fully equipped research imaging center with a 3T Siemens MRI system, a near-infrared spectroscopy optical imaging systems, a high-density EEG (256 channels), fMRI-compatible EEG, and a transcranial magnetic stimulator. Our investigators are conducting a number of studies examining the neural mechanisms of language, perception, developmental disorders, decision making and reward processing, substance abuse, and brain plasticity.

This position will involve being trained to run our MRI scanner, working on data analyses, and interacting with a wide variety of participant populations including children with autism and other neuropsychiatric disorders as well as individuals with strokes and mild cognitive impairment. Some specific requirements include:

Bachelor's degree required upon start date
Requires some experience collecting data with human subjects/working in a research environment
Experience with MRI/fMRI preferred but not necessary - Programming and/or noscripting experience preferred
Working in a team environment
Major research projects that will be undertaken in the lab include working on cloud computing solutions for neuroimaging data analyses collected as part of a longitudinal substance use initiation study in adolescents as well as piloting new fMRI tasks.

This is a great position for those wanting research experience before applying for graduate school. If interested please send resume to: John VanMeter; jwv5@georgetown.edu

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Job Announcement

Assistant Professor

Department of Psychological Sciences

University of Connecticut



The Department of Psychological Sciences at the University of Connecticut invites applications for an Assistant Professor, tenure track, in Developmental Psychology, with an anticipated start date of August 23, 2022. We seek a candidate with specialization in social developmental neuroscience using MRI methods. The successful candidate will utilize and be affiliated with the UCONN Brain Imaging Research Center (https://birc.uconn.edu). Targeted research areas are diversity (e.g., intergroup relations, social justice, disparity/inequity, racial/ethnic identity development) and/or social relationships with parents or peers in childhood or adolescence. Salary will be commensurate with qualifications and experience. The department is committed to diversity, equity, and inclusion, and especially invites applications from members of minoritized, marginalized, and underrepresented groups.

For more details about the position and to apply, please see the complete ad at https://academicjobsonline.org/ajo/jobs/19114 or visit https://hr.uconn.edu/jobs/



UConn is an AA/EEO employer.

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Post-doc in Conversational Recommendation at U. of Toronto

I have one opening for a post-doc in Conversational Recommendation at U. of Toronto.

The research will focus on machine learning methodologies leveraging recent advances in recommender systems and applied NLP.

Post-docs are expected to publish in top research venues, to produce high-quality deliverable code for use by research funding partners, and to help provide supervision for a team of graduate students working on the same project.

Deadline: the candidate should be able to start on or before Dec 1, 2021.

If you are interested, please email ssanner@cs.toronto.edu with the following:
(a) your CV (clearly listing all publications and date PhD granted / expected),
(b) your github public account link with projects that I can browse (if you don't have this, please do not apply),
(c) 1-2 sentences in your email stating your interests in conversational recommendation and why you think you would be appropriate for the position.

Dr. Scott P. Sanner

Associate Professor, Industrial Engineering
Cross-appointed, Computer Science
Faculty Affiliate, Vector Institute
University of Toronto, Toronto, ON, Canada
Email: ssanner@cs.toronto.edu
Website: http://d3m.mie.utoronto.ca/

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