The Knowledge Engineering Group of the Department of Computer Science at the
Technical University in Darmstadt, Germany
has an immediate opening for a
*Doctoral Researcher* (Wissenschaftlicher Mitarbeiter)
in the area of
*machine learning*.
The task of the job holder is primarily to carry out the project work for a
research project for the *early detection of epidemiological hazards* using
machine learning.
*Deadline* for application: *20th of May 2018*
https://www.ke.tu-darmstadt.de/staff/jobs/ESEG
✔️ @ApplyTime
Technical University in Darmstadt, Germany
has an immediate opening for a
*Doctoral Researcher* (Wissenschaftlicher Mitarbeiter)
in the area of
*machine learning*.
The task of the job holder is primarily to carry out the project work for a
research project for the *early detection of epidemiological hazards* using
machine learning.
*Deadline* for application: *20th of May 2018*
https://www.ke.tu-darmstadt.de/staff/jobs/ESEG
✔️ @ApplyTime
Bayesian models for forecasting in the supply chain
*BRIEF SUMMARY*
The global economy relies heavily on the consumption of goods of all kinds: food, textiles, electronics, equipment, vehicles, etc. The supply chain is the mechanism that accounts for the physical flows of these consumed goods. The supply chain consists of logistics (warehouses, transport vehicles, packaging), finance (billing and payment), and IT (stock status, manufacturing, ordering and shipping). Its efficient functioning has a direct impact on the performance of the economy, on the environment (transport, storage, destruction of useless stock) and on the working conditions of the employees. In this thesis, the objective is to predict the evolution of the outputs in the supply chain, i.e. quantities in locations of storage or sales. The research work of this thesis can be divided into two parts: (1) mathematical modeling of the supply chain, and (2) inference methods for prediction. First, we will model the problem in a probabilistic and generic way, taking into account all possible interactions between the variables of interest. In the second part of this thesis, we will develop Bayesian methods for the probabilistic prediction at all stages of the chain. We will propose novel efficient and accurate algorithms, including but not only sequential learning, in order to avoid the need to reprocess all past data every time new data is available.
*WHERE AND WHEN*
One fully funded PhD position is available in Lille from September/October 2018. The thesis will take place jointly at the engineering school IMT Lille Douai and at a fast-growing company focused on machine learning and data science. Earlier start date can be also considered. Lille is a vibrant, young and dynamic city. Lille lies in the heart of the triangle that links three of Europe’s main metropoles: London (80 min), Paris (60 min), and Brussels (35 min).
*WITH WHO*
The students will be supervised by:
- Víctor Elvira: http://pagesperso.telecom-lille.fr/elvira/
- François Septier: http://pagesperso.telecom-lille.fr/septier/
*CANDIDATE PROFILE*
We are looking for a motivated and talented student with:
- background in machine learning, signal processing, statistics or applied mathematics
- strong mathematical skills
-experience in programming, preferably in Matlab and/or Python.
* CONTACT *
If you have any question and/or want to apply, please contact:
- Víctor Elvira: victor.elvira@imt-lille-douai.fr
- François Septier: francois.septier@imt-lille-douai.fr
✔️ @ApplyTime
*BRIEF SUMMARY*
The global economy relies heavily on the consumption of goods of all kinds: food, textiles, electronics, equipment, vehicles, etc. The supply chain is the mechanism that accounts for the physical flows of these consumed goods. The supply chain consists of logistics (warehouses, transport vehicles, packaging), finance (billing and payment), and IT (stock status, manufacturing, ordering and shipping). Its efficient functioning has a direct impact on the performance of the economy, on the environment (transport, storage, destruction of useless stock) and on the working conditions of the employees. In this thesis, the objective is to predict the evolution of the outputs in the supply chain, i.e. quantities in locations of storage or sales. The research work of this thesis can be divided into two parts: (1) mathematical modeling of the supply chain, and (2) inference methods for prediction. First, we will model the problem in a probabilistic and generic way, taking into account all possible interactions between the variables of interest. In the second part of this thesis, we will develop Bayesian methods for the probabilistic prediction at all stages of the chain. We will propose novel efficient and accurate algorithms, including but not only sequential learning, in order to avoid the need to reprocess all past data every time new data is available.
*WHERE AND WHEN*
One fully funded PhD position is available in Lille from September/October 2018. The thesis will take place jointly at the engineering school IMT Lille Douai and at a fast-growing company focused on machine learning and data science. Earlier start date can be also considered. Lille is a vibrant, young and dynamic city. Lille lies in the heart of the triangle that links three of Europe’s main metropoles: London (80 min), Paris (60 min), and Brussels (35 min).
*WITH WHO*
The students will be supervised by:
- Víctor Elvira: http://pagesperso.telecom-lille.fr/elvira/
- François Septier: http://pagesperso.telecom-lille.fr/septier/
*CANDIDATE PROFILE*
We are looking for a motivated and talented student with:
- background in machine learning, signal processing, statistics or applied mathematics
- strong mathematical skills
-experience in programming, preferably in Matlab and/or Python.
* CONTACT *
If you have any question and/or want to apply, please contact:
- Víctor Elvira: victor.elvira@imt-lille-douai.fr
- François Septier: francois.septier@imt-lille-douai.fr
✔️ @ApplyTime
Hi everyone,
The Institute of Comms and Power Networks in collaboration with the Depart. of Mathematics have a full scholarship for a PhD in the area of anomaly detection for energy security.
If you have the ML skills and a knack for sustainability, then this is the position for you. You will develop and apply ML techniques to increase the energy security of future low-carbon electricity networks!
Due to funder restrictions, the position is open only to EU candidates. The deadline is June 1st, 2018 and the starting date should be in fall 2018.
More information can be found at:
http://www.leeds.ac.uk/info/130558/leeds_doctoral_college/600/global_challenge_doctoral_scholarships
https://engineering.leeds.ac.uk/research-opportunity/2655/big-data-and-energy-security-(leeds-global-challenge-doctoral-scholarship)
Please share with anyone that might be interested.
Best regards,
Petros
—
Petros Aristidou, PhD MEng
Lecturer (Assist. Prof.) in Smart Energy Systems
Institute of Communication and Power Networks,
School of Electronic & Electrical Engineering,
University of Leeds, LS2 9JT, UK
✔️ @ApplyTime
The Institute of Comms and Power Networks in collaboration with the Depart. of Mathematics have a full scholarship for a PhD in the area of anomaly detection for energy security.
If you have the ML skills and a knack for sustainability, then this is the position for you. You will develop and apply ML techniques to increase the energy security of future low-carbon electricity networks!
Due to funder restrictions, the position is open only to EU candidates. The deadline is June 1st, 2018 and the starting date should be in fall 2018.
More information can be found at:
http://www.leeds.ac.uk/info/130558/leeds_doctoral_college/600/global_challenge_doctoral_scholarships
https://engineering.leeds.ac.uk/research-opportunity/2655/big-data-and-energy-security-(leeds-global-challenge-doctoral-scholarship)
Please share with anyone that might be interested.
Best regards,
Petros
—
Petros Aristidou, PhD MEng
Lecturer (Assist. Prof.) in Smart Energy Systems
Institute of Communication and Power Networks,
School of Electronic & Electrical Engineering,
University of Leeds, LS2 9JT, UK
✔️ @ApplyTime
www.leeds.ac.uk
Global challenge doctoral scholarships
We are offering scholarships in six interdisciplinary projects, aimed at tackling key global challenges.
We are pleased to announce an opening for a postdoc in the lab of Mark van Rossum at the University of Nottingham.
In a EPSRC/ESRC grant on Human-like Computation, we are investigating in the computational role of sleep in cognitive processing and visual reasoning. In particular we are interested in how REM and slow-wave sleep phases map onto processing stages of neurally inspired AI, thereby trying to circumvent some limitations of current deep learning approaches.
This theoretical research is complemented by sleep experiments carried out by the group of Prof Penny Lewis in Cardiff.
The successful candidate will have a PhD (or submitted his/her thesis) and have research experience in either computational neuroscience or machine learning, or a combination of these.
This post is initially a fixed-term contract for a period of 12 months.
As Nottingham is currently creating a Centre for Computational Neuroscience,
long-term independent research positions will open up next year.
Informal enquiries may be addressed to Mark van Rossum. mark.vanrossum-at-nottingham.ac.uk
Formal applications should be made via the website:
https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI146218
✔️ @ApplyTime
In a EPSRC/ESRC grant on Human-like Computation, we are investigating in the computational role of sleep in cognitive processing and visual reasoning. In particular we are interested in how REM and slow-wave sleep phases map onto processing stages of neurally inspired AI, thereby trying to circumvent some limitations of current deep learning approaches.
This theoretical research is complemented by sleep experiments carried out by the group of Prof Penny Lewis in Cardiff.
The successful candidate will have a PhD (or submitted his/her thesis) and have research experience in either computational neuroscience or machine learning, or a combination of these.
This post is initially a fixed-term contract for a period of 12 months.
As Nottingham is currently creating a Centre for Computational Neuroscience,
long-term independent research positions will open up next year.
Informal enquiries may be addressed to Mark van Rossum. mark.vanrossum-at-nottingham.ac.uk
Formal applications should be made via the website:
https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI146218
✔️ @ApplyTime
Several positions (Postdoctoral Fellow/Research Scientist) in neuroimage analysis are available immediately at Stanford University and SRI International. The successful candidate will contribute to research and development in the coherent and robust multi-modal analysis of longitudinal neuroimages collected across multiple sites. The research projects are funded in part by the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA; http://www.ncanda.org; 4K MRI sessions), the Adolescent Brain Cognitive Development Study (ABCD; http://addictionresearch.nih.gov/abcd-study; 20K MRI sessions planned) and the National Institute of Mental Health. The researcher will work in a multidisciplinary research environment closely collaborating and publishing with imaging, computer, and neuroscientists at Stanford University and SRI International (see also sibis.sri.com).
Qualifications:
Successful candidates should have a PhD (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical or Biomedical Engineering, or related field. Expertise in machine learning and programming is a must. Experience in neuroimage analysis is highly desirable. Being knowledgeable in DTI and fMRI data analysis is a plus.
Please send applications (curriculum vitae and contact information of three references) or questions to kilian.pohl@sri.com
Kilian M. Pohl
Program Director of Biomedical Computing
Center for Health Sciences
SRI International
http://sibis.sri.com/Kilian.Pohl/
✔️ @ApplyTime
Qualifications:
Successful candidates should have a PhD (or equivalent) in Computer Science, Applied Mathematics/Statistics, Electrical or Biomedical Engineering, or related field. Expertise in machine learning and programming is a must. Experience in neuroimage analysis is highly desirable. Being knowledgeable in DTI and fMRI data analysis is a plus.
Please send applications (curriculum vitae and contact information of three references) or questions to kilian.pohl@sri.com
Kilian M. Pohl
Program Director of Biomedical Computing
Center for Health Sciences
SRI International
http://sibis.sri.com/Kilian.Pohl/
✔️ @ApplyTime
Post-doc/PhD positions in Neural Machine Translation (CIS, LMU Munich)
I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU).
Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required.
Three positions are available (one post-doc position and two PhD student positions), with a target starting date of October 2018. In addition, I am looking for early expressions of interest in a further possible post-doc position (see below).
Position 1 is for a funded full-time post-doc on my European Research Council Starting Grant.
Position 2 is for a funded full-time PhD student on my European Research Council Starting Grant.
Position 3 is for a local unfunded PhD student. The candidate is already working externally in the Munich area, and wishes to carry out research for a PhD degree.
I am also looking for early expressions of interest in a possible full-time post-doc in Summer 2019. The candidate should have been working outside of Germany and be interested in moving to Munich in the Summer of 2019. Please contact me for further details.
All candidates will have possibilities to teach, supervise bachelors/masters students, and to collaborate on grant applications, as appropriate. Post-Docs may also participate in the supervision of doctoral students.
There is significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.
The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.
Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.
If you are interested in applying please send me:
* a cover letter. Indicate which position you are applying for and include possible starting dates.
* a CV
* a statement of research interests
* (post-doc position): a brief statement of teaching experience and interest
* the names and addresses of two references
If you have questions about these positions please feel free to ask (please include a CV).
LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.
Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany
Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
✔️ @ApplyTime
I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU).
Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required.
Three positions are available (one post-doc position and two PhD student positions), with a target starting date of October 2018. In addition, I am looking for early expressions of interest in a further possible post-doc position (see below).
Position 1 is for a funded full-time post-doc on my European Research Council Starting Grant.
Position 2 is for a funded full-time PhD student on my European Research Council Starting Grant.
Position 3 is for a local unfunded PhD student. The candidate is already working externally in the Munich area, and wishes to carry out research for a PhD degree.
I am also looking for early expressions of interest in a possible full-time post-doc in Summer 2019. The candidate should have been working outside of Germany and be interested in moving to Munich in the Summer of 2019. Please contact me for further details.
All candidates will have possibilities to teach, supervise bachelors/masters students, and to collaborate on grant applications, as appropriate. Post-Docs may also participate in the supervision of doctoral students.
There is significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.
The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.
Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.
If you are interested in applying please send me:
* a cover letter. Indicate which position you are applying for and include possible starting dates.
* a CV
* a statement of research interests
* (post-doc position): a brief statement of teaching experience and interest
* the names and addresses of two references
If you have questions about these positions please feel free to ask (please include a CV).
LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.
Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany
Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser
✔️ @ApplyTime
OR 2.0 Context-Aware Operating Theaters MICCAI'18 Satellite Workshop Event
Surgical robotic tools and digitally enhanced operating theaters have been giving surgeons a helping hand for years. While they provide great control, precision and flexibility to the surgeons, they don’t yet address the cognitive assistance needs in the operating theater. We are on the verge of a new wave of innovations of artificial intelligence powered, context-aware operating theaters. This workshop aims to highlight the potential use of surgical data science, multidisciplinary approaches and teams with a focus on translation and clinical applications that will define future technologies of the next generation operating theaters.
Please visit our website https://or20.univ-rennes1.frfor more information.
✔️ @ApplyTime
Surgical robotic tools and digitally enhanced operating theaters have been giving surgeons a helping hand for years. While they provide great control, precision and flexibility to the surgeons, they don’t yet address the cognitive assistance needs in the operating theater. We are on the verge of a new wave of innovations of artificial intelligence powered, context-aware operating theaters. This workshop aims to highlight the potential use of surgical data science, multidisciplinary approaches and teams with a focus on translation and clinical applications that will define future technologies of the next generation operating theaters.
Please visit our website https://or20.univ-rennes1.frfor more information.
✔️ @ApplyTime
PhD Studentship - Cambridge, UK
Please find below details of a fully funded PhD Studentship with the University of Cambridge, starting in October 2018.
AI for Megacities: Understanding the impact of climate extremes
Project summary
The student will apply Bayesian statistics and machine learning in new and innovative ways to help transform the field of environmental data science. There is an abundance of data relevant to the forecasting of power demand (e.g., details of the built environment, socio-economic forecasts) and also human health (mortality rates). However, such data are not routinely incorporated into future climate risk projections.
The student will work closely with members of the Cambridge Machine Learning group and help develop a climate downscaling framework (incorporating probability distribution modelling) to improve the representation of high-impact climate events within localised urban environments. It is expected that the student will provide intellectual input into the project design throughout the project, and lead their own research activities on a daily-to-weekly basis.
Requirements
A strong background in engineering, physics, mathematics and/or statistics is essential. The candidate must hold an honors degree graded at least upper second-class (2i), and/or a master's degree in a relevant subject. Experience writing and developing code is highly desirable. Meets UK residency requirements (see here)
More details
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97521
✔️ @ApplyTime
Please find below details of a fully funded PhD Studentship with the University of Cambridge, starting in October 2018.
AI for Megacities: Understanding the impact of climate extremes
Project summary
The student will apply Bayesian statistics and machine learning in new and innovative ways to help transform the field of environmental data science. There is an abundance of data relevant to the forecasting of power demand (e.g., details of the built environment, socio-economic forecasts) and also human health (mortality rates). However, such data are not routinely incorporated into future climate risk projections.
The student will work closely with members of the Cambridge Machine Learning group and help develop a climate downscaling framework (incorporating probability distribution modelling) to improve the representation of high-impact climate events within localised urban environments. It is expected that the student will provide intellectual input into the project design throughout the project, and lead their own research activities on a daily-to-weekly basis.
Requirements
A strong background in engineering, physics, mathematics and/or statistics is essential. The candidate must hold an honors degree graded at least upper second-class (2i), and/or a master's degree in a relevant subject. Experience writing and developing code is highly desirable. Meets UK residency requirements (see here)
More details
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=97521
✔️ @ApplyTime
The 34th ACM Symposium on Applied Computing (SAC 2019)
St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019
https://www.sigapp.org/sac/sac2019
* Submission Deadline: May 25, 2018 *
✔️ @ApplyTime
St. Raphael Resort, Limassol, Cyprus, April 8-12, 2019
https://www.sigapp.org/sac/sac2019
* Submission Deadline: May 25, 2018 *
✔️ @ApplyTime
www.sigapp.org
SAC 2019
The 34rd ACM/SIGAPP Symposium On Applied Computing
24th International Symposium on Methodologies for
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
* Extended Deadline: 28 May, 2018 *
✔️ @ApplyTime
Intelligent Systems (ISMIS 2018)
St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018
http://www.cyprusconferences.org/ismis2018
* Extended Deadline: 28 May, 2018 *
✔️ @ApplyTime
Position
=========================================================
Paid Intern Deep Learning
The major projects include object recognition and detection, anomaly detection, grasp prediction for autonomous robot manipulation, and more. This individual will work as part of Dishcraft’s computer vision team, contributing to algorithm development, data collection and annotation, sensor evaluation, and testing.
About Us
=========================================================
Dishcraft Robotics
San Carlos, CA
http://www.dishcraft.com/
At Dishcraft Robotics, our mission is to build things that matter. We are a venture-backed Bay Area start-up that is revolutionizing robotics, computer vision, machine learning, and mechanical design. Come join our talented team of technologists and business people as we create advanced machines in an industry that touches everyone.
First and foremost, we value people, intellectual engagement, and transparent communication. We are looking for a highly motivated, intellectually curious and passionate Deep Learning Engineer. Dishcraft is developing intelligent robots for commercial kitchens that can help with tedious and dangerous tasks. Our robots need to operate intelligently in chaotic environments to deliver reliability, safety, and high throughput for their tasks.
Details
=========================================================
About The Role
Contribute to developing and testing convolutional neural network (CNN) architectures for object detection and classification for Dishcraft’s robots.
Contribute to developing and managing data collection and annotation processes for diverse machine learning projects.
Perform proof of concept studies by implementing a new architecture or theory for deep learning.
Document and analyze workflows and results.
Evaluate sensors and contribute to developing new sensor technology.
Collaborate closely with roboticists, software engineers, mechanical engineers, test engineers, external consultants from both industry and academia, and robots.
About You
Demonstration of contributions to the field of deep learning: large projects, publications at conferences (CVPR, ICML, NIPS, ICCV, ECCV, ICLR, ICPR, IPMI, and etc.), journal publications, internships for relevant projects, blog posts, open source projects.
BS or higher degree in computer vision or machine learning, or equivalent experience.
Experience implementing deep learning architectures.
Proficiency in Python (particularly, numpy, scipy, pandas, scikit-image, and scikit-learn) and C/C++.
Experience with tools such as Caffe, Torch, Theano or TensorFlow.
Familiarity with data cleaning, analysis, and developing efficient, accurate data annotation schemes.
Familiarity with unit testing and version control.
Familiarity with state-of-the-art CNN architectures such as ResNet, VGG, GoogleNet (Inception), Faster RCNN, and Mask R-CNN.
Highly motivated, team player with strong technical collaboration skills and desire to learn quickly and develop new skills.
The desire to be part of a fast-moving start-up and work in a collaborative environment with few rigid boundaries.
Disclaimer
=========================================================
Dishcraft Robotics is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other characteristics protected by law.
To apply, please send an email to matt.shaffer@dishcraft.com referencing this posting in the Machine Learning News Group and complete the application at:
http://www.dishcraft.com/apply/?gh_jid=4013397002
✔️ @ApplyTime
=========================================================
Paid Intern Deep Learning
The major projects include object recognition and detection, anomaly detection, grasp prediction for autonomous robot manipulation, and more. This individual will work as part of Dishcraft’s computer vision team, contributing to algorithm development, data collection and annotation, sensor evaluation, and testing.
About Us
=========================================================
Dishcraft Robotics
San Carlos, CA
http://www.dishcraft.com/
At Dishcraft Robotics, our mission is to build things that matter. We are a venture-backed Bay Area start-up that is revolutionizing robotics, computer vision, machine learning, and mechanical design. Come join our talented team of technologists and business people as we create advanced machines in an industry that touches everyone.
First and foremost, we value people, intellectual engagement, and transparent communication. We are looking for a highly motivated, intellectually curious and passionate Deep Learning Engineer. Dishcraft is developing intelligent robots for commercial kitchens that can help with tedious and dangerous tasks. Our robots need to operate intelligently in chaotic environments to deliver reliability, safety, and high throughput for their tasks.
Details
=========================================================
About The Role
Contribute to developing and testing convolutional neural network (CNN) architectures for object detection and classification for Dishcraft’s robots.
Contribute to developing and managing data collection and annotation processes for diverse machine learning projects.
Perform proof of concept studies by implementing a new architecture or theory for deep learning.
Document and analyze workflows and results.
Evaluate sensors and contribute to developing new sensor technology.
Collaborate closely with roboticists, software engineers, mechanical engineers, test engineers, external consultants from both industry and academia, and robots.
About You
Demonstration of contributions to the field of deep learning: large projects, publications at conferences (CVPR, ICML, NIPS, ICCV, ECCV, ICLR, ICPR, IPMI, and etc.), journal publications, internships for relevant projects, blog posts, open source projects.
BS or higher degree in computer vision or machine learning, or equivalent experience.
Experience implementing deep learning architectures.
Proficiency in Python (particularly, numpy, scipy, pandas, scikit-image, and scikit-learn) and C/C++.
Experience with tools such as Caffe, Torch, Theano or TensorFlow.
Familiarity with data cleaning, analysis, and developing efficient, accurate data annotation schemes.
Familiarity with unit testing and version control.
Familiarity with state-of-the-art CNN architectures such as ResNet, VGG, GoogleNet (Inception), Faster RCNN, and Mask R-CNN.
Highly motivated, team player with strong technical collaboration skills and desire to learn quickly and develop new skills.
The desire to be part of a fast-moving start-up and work in a collaborative environment with few rigid boundaries.
Disclaimer
=========================================================
Dishcraft Robotics is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other characteristics protected by law.
To apply, please send an email to matt.shaffer@dishcraft.com referencing this posting in the Machine Learning News Group and complete the application at:
http://www.dishcraft.com/apply/?gh_jid=4013397002
✔️ @ApplyTime
Dishcraft
We are a team of experienced robotics entrepreneurs working on our next robot for the commercial kitchen.
#Culture_Shock
#شک_فرهنگی چیست؟ و چرا باید در تصمیممان برای اپلای حتما بدان بیاندیشیم؟
در آینده در این مورد توضیح خواهیم داد. شما نیز میتوانید در مورد آن گوگل کنید.
✔️ @ApplyTime
#شک_فرهنگی چیست؟ و چرا باید در تصمیممان برای اپلای حتما بدان بیاندیشیم؟
در آینده در این مورد توضیح خواهیم داد. شما نیز میتوانید در مورد آن گوگل کنید.
✔️ @ApplyTime
Apply Time pinned «دوستان عزیز، اپلایتایم در اینستاگرام پیج فعالی ندارد. تنها پیج ما در اینستاگرام پیج غیرفعال زیر است: https://www.instagram.com/applytime.ir/ در حال حاضر قصد هم نداریم که به غیر از تلگرام روی اپ دیگری فعالیت کنیم، مگر زمانی که اپ بهتری در مقایسه با تلگرام…»
PostdoctoralPosition @ApplyTime.pdf
183.1 KB
Postdoc position in machine learning and neuroimage analysis (University of Texas Southwestern, Medical Center, Dallas USA)
✔ @ApplyTime
✔ @ApplyTime
Applications are invited for a postdoctoral fellow position in the computational systems biology lab (http://compbio.uthsc.edu/) at University of Tennessee Health Science Center. The successful candidate will be involved in developing deep learning algorithms for genomics research and precision medicine. The Department of Genetics, Genomics and Informatics and the Center for Integrative and Translational Genomics provide a highly dynamic and collaborative environment fostering scientific breakthroughs.
The candidate must have obtained his/her Ph.D. degree in Bioinformatics, Computer Science or a related field. We are expecting high motivation and ability to work independently, as well as part of a research team. The candidate must have acquired a solid publication record and have excellent programming skills. Research experience in machine learning is required. Preference will be given to candidates with knowledge of deep learning.
Please send a CV, a cover letter describing your previous work and career goals, putative starting date and the contact information for three references to Dr. Yan Cui (ycui2@uthsc.edu).
Salary will be commensurate with relevant experience and is competitive for postdoctoral research fellows. The position includes an excellent benefits package (http://www.uthsc.edu/postdoc/benefits.php). Located in Memphis, a dynamic Mid-South city rich in culture, history, diversity, music and cuisine, the University of Tennessee Health Science Center is one of the largest, most comprehensive academic health centers in the United States with a solid commitment to postdoctoral training. UTHSC is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA/V institution in the provision of its education and employment programs and services.
✔ @ApplyTime
The candidate must have obtained his/her Ph.D. degree in Bioinformatics, Computer Science or a related field. We are expecting high motivation and ability to work independently, as well as part of a research team. The candidate must have acquired a solid publication record and have excellent programming skills. Research experience in machine learning is required. Preference will be given to candidates with knowledge of deep learning.
Please send a CV, a cover letter describing your previous work and career goals, putative starting date and the contact information for three references to Dr. Yan Cui (ycui2@uthsc.edu).
Salary will be commensurate with relevant experience and is competitive for postdoctoral research fellows. The position includes an excellent benefits package (http://www.uthsc.edu/postdoc/benefits.php). Located in Memphis, a dynamic Mid-South city rich in culture, history, diversity, music and cuisine, the University of Tennessee Health Science Center is one of the largest, most comprehensive academic health centers in the United States with a solid commitment to postdoctoral training. UTHSC is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA/V institution in the provision of its education and employment programs and services.
✔ @ApplyTime
Don't Miss Early Registration Rates for SSBSS 2018, 5th International Synthetic & Systems Biology Summer School - SSBSS 2018, Siena - Tuscany, July 25-29, Deadline: May 31
Call for Participation + CALL FOR POSTER & ORAL PRESENTATIONS
https://ssbss2018.icas.xyz ssbss@icas.xyz
✔️ @ApplyTime
Call for Participation + CALL FOR POSTER & ORAL PRESENTATIONS
https://ssbss2018.icas.xyz ssbss@icas.xyz
✔️ @ApplyTime
Applicants are invited for a Research Fellow position at the School of Engineering, University of Lincoln, UK, to work on a project “Evolutionary Virtual Expert System” from July 2018 (or as soon as possible thereafter), funded by EPSRC (EP/R029741/1).
More details and formal application:
jobs.lincoln.ac.uk/vacancy.aspx?ref=COS510
✔️ @ApplyTime
More details and formal application:
jobs.lincoln.ac.uk/vacancy.aspx?ref=COS510
✔️ @ApplyTime
The Knowledge Engineering Group of the Department of Computer Science at the
Technical University in Darmstadt, Germany, has an immediate opening for a
*Doctoral Researcher* (Wissenschaftlicher Mitarbeiter)
in the area of
*machine learning*.
https://www.ke.tu-darmstadt.de/staff/jobs/ESEG
✔ @ApplyTime
Technical University in Darmstadt, Germany, has an immediate opening for a
*Doctoral Researcher* (Wissenschaftlicher Mitarbeiter)
in the area of
*machine learning*.
https://www.ke.tu-darmstadt.de/staff/jobs/ESEG
✔ @ApplyTime
Postdoc position to model HIV at Imperial College London
Jeff Eaton (http://www.imperial.ac.uk/people/jeffrey.eaton) and I are
looking to hire a postdoc to help us model HIV in sub-Saharan Africa.
There’s a lot of potential for stats and ML methods to bring about real
advances in this area, and the potential projects are positioned to
have a large and immediate impact:
* New geostatistical models for spatio-temporal inference about HIV
incidence in sub-Saharan Africa.
* Developing statistical and mathematical models for combining
administrative health system data and population survey data to
understand HIV patterns and trends.
* Validating approaches for utilizing HIV case surveillance data for
epidemic estimation in sub-Saharan Africa.
* Modelling and analysis of novel HIV surveillance strategies
leveraging biomarkers for recent HIV infection and optimal design for
new surveillance platforms.
Analysis of HIV epidemic trends and transmission dynamics in general
population HIV cohort studies.
Get in touch if you’re interested! Here is the posting:
http://www.imperial.ac.uk/jobs/denoscription/MED00463/research-assistantassociate
Seth
—
www.sethrf.com
s.flaxman@imperial.ac.uk
✔️ @ApplyTime
Jeff Eaton (http://www.imperial.ac.uk/people/jeffrey.eaton) and I are
looking to hire a postdoc to help us model HIV in sub-Saharan Africa.
There’s a lot of potential for stats and ML methods to bring about real
advances in this area, and the potential projects are positioned to
have a large and immediate impact:
* New geostatistical models for spatio-temporal inference about HIV
incidence in sub-Saharan Africa.
* Developing statistical and mathematical models for combining
administrative health system data and population survey data to
understand HIV patterns and trends.
* Validating approaches for utilizing HIV case surveillance data for
epidemic estimation in sub-Saharan Africa.
* Modelling and analysis of novel HIV surveillance strategies
leveraging biomarkers for recent HIV infection and optimal design for
new surveillance platforms.
Analysis of HIV epidemic trends and transmission dynamics in general
population HIV cohort studies.
Get in touch if you’re interested! Here is the posting:
http://www.imperial.ac.uk/jobs/denoscription/MED00463/research-assistantassociate
Seth
—
www.sethrf.com
s.flaxman@imperial.ac.uk
✔️ @ApplyTime
#ApplyTime #Job #Apply #QA #QA17
❓ من میخواستم اپلای کنم و با هزینهی شخصی (حمایت خونواده) در خارج از کشور ادامهی تحصیل بدم. ولی با توجه به گرون شدن دلار، دیگه خونوادهم توان مالی برای ساپورت من رو ندارن. با توجه به این امر، در کنار کمک خونوادهم، من مجبور هستم که کار کنم در اونجا. من میدونم که در برخی از کشورهای اروپایی امکان کار همزمان با تحصیل وجود داره. میخواستم نظر شما رو در این مورد بدونم.
🔎 بله در برخی از کشورهای اروپایی امکان کار همزمان با تحصیل به صورت محدود (معمولا 15 تا 20 ساعت در هفته، با درآمد متوسط حدودا 10 تا 20 یورو به ازای هر ساعت کار) وجود دارد. اما در مورد کار همزمان با تحصیل نکات زیر را در نظر داشته باشید:
✔️ @ApplyTime
۱- اینکه بتوانید کار کنید یا نه، به حجم درس شما، برنامهی درسی شما در طول هفته، و نظر استاد شما بستگی دارد.
2- تعداد موقعیتهای کار پاره وقت و مناسب با شرایط دانشجو معمولا کم است.
3- اگر در یک کشور غیر انگلیسی زبان هستید (مثلا آلمان)، معمولا پیدا کردن کار به زبان محلی آن کشور نیاز دارد (مثلا در آلمان، زبان آلمانی).
4- کارهای پاره وقت معمولا دائمی نیستید. یعنی حتی در صورت پیدا کردن کار، ممکن است بعد از مدتی مجبور باشید دوباره دنبال کار بگردید.
5- وقتی فردی در خود ایران از شهری به شهر دیگر کوچ میکند، مدتی طول میکشد که با شرایط جدید خودش را وقف دهد. چه رسد سفر از کشوری به کشور دیگر. پس تا مدتی احتمالا نمیتوانید اساسا به کار فکر کنید.
6- این کارهای پاره وقت، در بسیاری از موارد اصلا ارتباطی به رشتهی دانشجو ندارند. بلکه کارهایی عمومی مث فروشندگی هستند. (کار کردن عار نیست. این یک ضرب المثل ایرانی است. و مصداق واقعی آن را در کشورهای غربی میتوان دید). همچنین اینگونه موقعیتهای کاری معمولا به زبان محلی نیاز دارند.
🔘 خلاصه اینکه، با وجود داشتن اجازهی کار، امکان کار کردن معمولا در ترم اول یا سال اول فراهم نیست.
✔️ @ApplyTime
❓ یعنی حتی خود دانشگاه هم به ما کار نمیده؟
🔎 خیر. در دانشگاهها معمولا یک سری کارهای دانشجویی وجود دارد. ولی از آنجاییکه متقاضی زیاد است، معمولا تا نوبت به دانشجویان تازه وارد برسد، یکی دو ترمی طول میکشد.
✔️ @ApplyTime
❓ من شاید ازدواج کنم. در این صورت همسرم که میتونه کار کنه. درسته؟
🔎 همسر دانشجو، معمولا اجازهی کار تمام وقت در برخی از کشورهای اروپایی دارد. اما از بین ۶ نکتهی فوق، بسیاری از آنها در مورد همسر شما هم صدق میکند. یعنی برای ایشان هم حداقل برای ترم اول نمیشود روی کار حسابی باز کرد.
✔️ @ApplyTime
☑️ نکته اینکه، موارد فوق صرفا احتمالاتی هستند که امکان رخداد آنها وجود دارد. این موارد در اینجا از این منظر مطرح شدند که بگوییم برخلاف آنچه که در تبلیغات مختلف از رسانهها و کانالهای مخلتف در مورد کار همزمان با تحصیل گفته میشود، واقعیت با تبلیغات در حالت کلی تفاوتی آشکار دارد.
☑️ پیشنهاد ما این است که وقتی با هزینهی شخصی اقدام به ادامهی تحصیل در خارج از کشور مینمایید، با این استراتژی عمل کنید که برای حدود ۲ سال اول، تنها منبع مالی شما، ریالهای ایران شماست!
🔰 در مسیر اپلای، از آغاز تا پرواز با شما هستیم. با ما در ارتباط باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime
❓ من میخواستم اپلای کنم و با هزینهی شخصی (حمایت خونواده) در خارج از کشور ادامهی تحصیل بدم. ولی با توجه به گرون شدن دلار، دیگه خونوادهم توان مالی برای ساپورت من رو ندارن. با توجه به این امر، در کنار کمک خونوادهم، من مجبور هستم که کار کنم در اونجا. من میدونم که در برخی از کشورهای اروپایی امکان کار همزمان با تحصیل وجود داره. میخواستم نظر شما رو در این مورد بدونم.
🔎 بله در برخی از کشورهای اروپایی امکان کار همزمان با تحصیل به صورت محدود (معمولا 15 تا 20 ساعت در هفته، با درآمد متوسط حدودا 10 تا 20 یورو به ازای هر ساعت کار) وجود دارد. اما در مورد کار همزمان با تحصیل نکات زیر را در نظر داشته باشید:
✔️ @ApplyTime
۱- اینکه بتوانید کار کنید یا نه، به حجم درس شما، برنامهی درسی شما در طول هفته، و نظر استاد شما بستگی دارد.
2- تعداد موقعیتهای کار پاره وقت و مناسب با شرایط دانشجو معمولا کم است.
3- اگر در یک کشور غیر انگلیسی زبان هستید (مثلا آلمان)، معمولا پیدا کردن کار به زبان محلی آن کشور نیاز دارد (مثلا در آلمان، زبان آلمانی).
4- کارهای پاره وقت معمولا دائمی نیستید. یعنی حتی در صورت پیدا کردن کار، ممکن است بعد از مدتی مجبور باشید دوباره دنبال کار بگردید.
5- وقتی فردی در خود ایران از شهری به شهر دیگر کوچ میکند، مدتی طول میکشد که با شرایط جدید خودش را وقف دهد. چه رسد سفر از کشوری به کشور دیگر. پس تا مدتی احتمالا نمیتوانید اساسا به کار فکر کنید.
6- این کارهای پاره وقت، در بسیاری از موارد اصلا ارتباطی به رشتهی دانشجو ندارند. بلکه کارهایی عمومی مث فروشندگی هستند. (کار کردن عار نیست. این یک ضرب المثل ایرانی است. و مصداق واقعی آن را در کشورهای غربی میتوان دید). همچنین اینگونه موقعیتهای کاری معمولا به زبان محلی نیاز دارند.
🔘 خلاصه اینکه، با وجود داشتن اجازهی کار، امکان کار کردن معمولا در ترم اول یا سال اول فراهم نیست.
✔️ @ApplyTime
❓ یعنی حتی خود دانشگاه هم به ما کار نمیده؟
🔎 خیر. در دانشگاهها معمولا یک سری کارهای دانشجویی وجود دارد. ولی از آنجاییکه متقاضی زیاد است، معمولا تا نوبت به دانشجویان تازه وارد برسد، یکی دو ترمی طول میکشد.
✔️ @ApplyTime
❓ من شاید ازدواج کنم. در این صورت همسرم که میتونه کار کنه. درسته؟
🔎 همسر دانشجو، معمولا اجازهی کار تمام وقت در برخی از کشورهای اروپایی دارد. اما از بین ۶ نکتهی فوق، بسیاری از آنها در مورد همسر شما هم صدق میکند. یعنی برای ایشان هم حداقل برای ترم اول نمیشود روی کار حسابی باز کرد.
✔️ @ApplyTime
☑️ نکته اینکه، موارد فوق صرفا احتمالاتی هستند که امکان رخداد آنها وجود دارد. این موارد در اینجا از این منظر مطرح شدند که بگوییم برخلاف آنچه که در تبلیغات مختلف از رسانهها و کانالهای مخلتف در مورد کار همزمان با تحصیل گفته میشود، واقعیت با تبلیغات در حالت کلی تفاوتی آشکار دارد.
☑️ پیشنهاد ما این است که وقتی با هزینهی شخصی اقدام به ادامهی تحصیل در خارج از کشور مینمایید، با این استراتژی عمل کنید که برای حدود ۲ سال اول، تنها منبع مالی شما، ریالهای ایران شماست!
🔰 در مسیر اپلای، از آغاز تا پرواز با شما هستیم. با ما در ارتباط باشید:
🎭 Admin: @Dr_Apply
✔️ @ApplyTime