PhD scholarship in NLP
PhD scholarships are available in the area of machine learning with application to sentiment analysis, social networks and facial expressions.
Preference will be given to candidates with a masters, at least one research publication and 6 months full time work experience.
Application deadline is end of 30th Sep 2021.
https://www.jcu.edu.au/graduate-research-school/how-to-apply
For further discussion kindly email your resume to i.chaturvedi@uq.edu.au
✔️ @ApplyTime
PhD scholarships are available in the area of machine learning with application to sentiment analysis, social networks and facial expressions.
Preference will be given to candidates with a masters, at least one research publication and 6 months full time work experience.
Application deadline is end of 30th Sep 2021.
https://www.jcu.edu.au/graduate-research-school/how-to-apply
For further discussion kindly email your resume to i.chaturvedi@uq.edu.au
✔️ @ApplyTime
Dear All,
We have a postdoc position at City University of Hong Kong. The research will be on reinforcement learning in medical/robotics applications. To apply, please send your CV to enek...@cityu.edu.hk
Contact information:
Ehsan Nekouei
Email: enek...@cityu.edu.hk
Web: http://www.ee.cityu.edu.hk/~enekouei/index.html
Best,
Ehsan
✔️ @ApplyTime
We have a postdoc position at City University of Hong Kong. The research will be on reinforcement learning in medical/robotics applications. To apply, please send your CV to enek...@cityu.edu.hk
Contact information:
Ehsan Nekouei
Email: enek...@cityu.edu.hk
Web: http://www.ee.cityu.edu.hk/~enekouei/index.html
Best,
Ehsan
✔️ @ApplyTime
Systems neuroscience research assistant position in Florida. Sleep and memory
One Research Assistant or Master’s Student position in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate biomarkers of sleep cellular activity in the thalamus that correlate with sleep depth and stability. Keywords: behaving rodent extracellular electrophysiology, cell spike dynamics, learning and memory, sleep fragmentation.
Start date January 2022 (some flexibility).
*** Requirements ***
Interested candidates please send your curriculum and a brief denoscription of your research interests to varelac@fau.edu We are looking for team-oriented candidates, ideally with prior experience in rodent behavior and electrophysiology. Candidates selected for an interview will be asked to provide contact information for up to three references.
*** What you get ***
· Work on exciting and impactful projects to understand the contribution of thalamic cells to sleep and memory.
· Develop research skills using state-of-the-art systems and pharmacology techniques in rodents.
· Mentorship, supportive lab environment, in a rapidly growing neuroscience campus.
Location: The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute.
FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law.
✔️ @ApplyTime
One Research Assistant or Master’s Student position in the laboratory of Dr. Carmen Varela (Psychology Department, Florida Atlantic University; https://www.varelalab.org/) to investigate biomarkers of sleep cellular activity in the thalamus that correlate with sleep depth and stability. Keywords: behaving rodent extracellular electrophysiology, cell spike dynamics, learning and memory, sleep fragmentation.
Start date January 2022 (some flexibility).
*** Requirements ***
Interested candidates please send your curriculum and a brief denoscription of your research interests to varelac@fau.edu We are looking for team-oriented candidates, ideally with prior experience in rodent behavior and electrophysiology. Candidates selected for an interview will be asked to provide contact information for up to three references.
*** What you get ***
· Work on exciting and impactful projects to understand the contribution of thalamic cells to sleep and memory.
· Develop research skills using state-of-the-art systems and pharmacology techniques in rodents.
· Mentorship, supportive lab environment, in a rapidly growing neuroscience campus.
Location: The Varela laboratory is located in FAU’s Jupiter campus, a rapidly growing neuroscience hub, which also hosts our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute.
FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law.
✔️ @ApplyTime
Postdoctoral Associate in Neural Circuits of Learning and Memory
NIH-funded postdoctoral position is immediately available in the group of Dr. Yuri Dabaghian in the Department of Neurology at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests at the intersection of mathematics, physics, and neuroscience, in the general area of emergent phenomena and representations, network dynamics, topological data analyses. Some projects aim to explain electrophysiological data patterns, some are theoretically motivated. Specifically, we are interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidates will develop data-driven hippocampal neuronal network models explaining spatial learning dynamics, develop and creatively apply tools for the data analysis including novel methods of brain waves (EEG) analyses, Topological Data Analysis of spiking data, etc.
The Position requires strong background in quantitative disciplines (PhD and ongoing interest in computational or theoretical neuroscience, physics, mathematics, or related), plus willingness to do programming and to analyze experimental data. Previous experiences in data analyses are preferred but not required.
All Appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center and have the opportunity to participate in collaborations with groups at Baylor College of Medicine and Rice University.
To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We Strive for a diverse and inclusive environment, and encourage applications from members of any identity.
✔️ @ApplyTime
NIH-funded postdoctoral position is immediately available in the group of Dr. Yuri Dabaghian in the Department of Neurology at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests at the intersection of mathematics, physics, and neuroscience, in the general area of emergent phenomena and representations, network dynamics, topological data analyses. Some projects aim to explain electrophysiological data patterns, some are theoretically motivated. Specifically, we are interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidates will develop data-driven hippocampal neuronal network models explaining spatial learning dynamics, develop and creatively apply tools for the data analysis including novel methods of brain waves (EEG) analyses, Topological Data Analysis of spiking data, etc.
The Position requires strong background in quantitative disciplines (PhD and ongoing interest in computational or theoretical neuroscience, physics, mathematics, or related), plus willingness to do programming and to analyze experimental data. Previous experiences in data analyses are preferred but not required.
All Appointments are initially for one year and are renewable for at least three years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center and have the opportunity to participate in collaborations with groups at Baylor College of Medicine and Rice University.
To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We Strive for a diverse and inclusive environment, and encourage applications from members of any identity.
✔️ @ApplyTime
Hiring several PhD students and PostDocs in Computer Vision, Image Processing and Machine Learning
The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions.
Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!
Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.
Depending on the position, the successful candidate will focus on a subset of the following
Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation.
The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.
The successful candidate will also collaborate with industry.
Profile
• Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics
• Good programming knowledge and experience with Python / C++ / MATLAB
• Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving
• Fluent written and spoken English is a must.
• Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers.
Timeline
The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax.
Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year.
Applications will be reviewed on a rolling basis until all the positions are filled.
The interviews are scheduled to start after 20.09.2021.
Application
Interested applicants should email asap their PDF documents (including CV, diplomas, trannoscripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timofte@uni-wuerzburg.de or radu.timofte@vision.ee.ethz.ch
✔️ @ApplyTime
The Computer Vision Laboratory led by Prof.Dr. Radu Timofte, from the newly established Center for Artificial Intelligence and Data Science, University of Wurzburg, is looking for outstanding candidates to fill several computer vision and machine learning fully-funded postdoc and PhD positions.
Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of the leading institutions of higher education in Germany and well-known on the international stage for delivering research excellence with a global impact. The University of Würzburg is proud to be the home of outstanding researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city in Bavaria, Germany’s economically strongest state and home base to many international companies. We look forward to welcoming you to the University of Würzburg!
Computer Vision Laboratory and University of Würzburg in general are an exciting environment for research, for independent thinking. Prof. Radu Timofte’s team is highly international, with people from about 12 countries, and the members have already won awards at top conferences (ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or collaborated with industry. Prof. Radu Timofte is a 2022 winner of the prestigious Humboldt Professorship for Artificial Intelligence Award. Prof. Radu Timofte also leads the Augmented Perception Group at ETH Zurich.
Depending on the position, the successful candidate will focus on a subset of the following
Research Topics:
• deep learning
• computational photography
• domain translation
• learned image/video compression
• image/video super-resolution
• learning paradigms
• image/video understanding
• augmented and mixed reality
• edge inference and mobile AI
The tasks will involve designing, developing, and testing novel ideas in cutting-edge research, as well as coordinating and conducting data collection for their evaluation.
The successful candidate will conduct research on deep learning machines and a new cluster with hundreds of GPUs.
The successful candidate will also collaborate with industry.
Profile
• Master's degree in computer science, electrical engineering, physics or applied mathematics/ statistics
• Good programming knowledge and experience with Python / C++ / MATLAB
• Interest, prior knowledge and experience in one or more of the following is a plus: computer vision, deep learning, machine learning, image processing
• Enthusiasm for leading-edge research, team spirit, and capability of independent problem-solving
• Fluent written and spoken English is a must.
• Postdoc applicants are expected to have a strong track of published research, including top, high impact, journal (such as PAMI, IJCV, TIP, NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS, ICLR) papers.
Timeline
The positions are open immediately, fully funded, the salaries of the doctoral students and postdocs are competitive on the German scales TV-L E13 and E14, up to 60k euros per year, before tax.
Typically a PhD takes ~4 years to complete and a PostDoc position is for at least 1 year.
Applications will be reviewed on a rolling basis until all the positions are filled.
The interviews are scheduled to start after 20.09.2021.
Application
Interested applicants should email asap their PDF documents (including CV, diplomas, trannoscripts of records, referees / recommendation letters, etc.) to Prof.Dr. Radu Timofte, radu.timofte@uni-wuerzburg.de or radu.timofte@vision.ee.ethz.ch
✔️ @ApplyTime