[UAI] Assistant Professor of Machine Learning at the Radboud ELLIS unit
At the ELLIS unit of Radboud University, we are looking for an Assistant Professor of Machine Learning to join our team. We offer a great environment, with many researchers across campus working on the latest developments in machine learning as well as excellent opportunities to join and setup collaborations in other domains, such as healthcare, linguistics, natural science, and industry. Your (tenured) position within the Institute for Computing and Information Sciences, one of the top computer science departments in the Netherlands, comes with a start-up package including two PhD positions to boost your research. The university takes pride in providing excellent employment conditions that help you achieve a good work-life balance. If you are interested, please check out https://www.ru.nl/werken-bij/vacature/details-vacature/?ruid=1551 and feel encouraged to apply (deadline June 15)! Best wishes, Tom Heskes ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Tenure- track position in machine learning and causal discovery at Radboud University Nijmegen
[please forward to anyone you think may be interested and qualified; with apologies for cross-posting] --- A tenure-track assistant professorship in machine learning and causal discovery is available in the Data Science department of the Institute for Computing and Information Sciences, Radboud University Nijmegen. Application deadline: November 30. For more information and to apply see http://www.ru.nl/werken/details/details_vacature_0/?recid=591279 ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] postdoc position in machine learning at Radboud University Nijmegen
[please forward to anyone you think may be interested and qualified; with apologies for cross-posting] --- A postdoc position is available in the Data Science department of the Institute for Computing and Information Sciences, Radboud University Nijmegen. The group, headed by Prof. Tom Heskes, works on the development and understanding of (probabilistic) machine learning methods, with a keen eye on applications in other scientific domains as well as industry. Through various collaborations with clinicians, we have unique access to challenging real-world patient data, with the opportunity to make a tangible contribution to better patient care. This particular postdoc position is predominantly funded by the TOP ZonMW project Parkinson Precision Medicine, in collaboration with Prof. Bas Bloem (Radboudumc) and Prof. Anne Stiggelbout (Leiden University). Successful applicants will have a (nearly completed) PhD in computer science, statistics, or a related discipline. A strong background in mathematics and programming (e.g. Python, R, Matlab), and experience with machine learning, pattern analysis, or advanced statistics are essential. We offer a 2,5 year postdoc position, with competitive pay and excellent benefits, in a very friendly, interactive and international working environment, at the top computer science institute in the Netherlands. For more information and to apply see http://www.ru.nl/vacaturebeschrijving?recid=588061 ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Fully funded PhD position on Causal Discovery
PhD position Radboud University Nijmegen invites applications for a fully funded PhD position. You will conduct research in the context of the NWO Top project Causal Discovery from High‐Dimensional Data in the Large‐Sample Limit, a joint project of Prof. Tom Heskes at Radboud University Nijmegen and Prof. Aad van der Vaart at Leiden University. Application deadline: July 31, 2015 Preferred starting date: September 1, 2015 Duration: 4 years The project --- Discovering causal relations from data lies at the heart of most scientific research today. The main challenge in this project is to develop robust algorithms and theory for establishing cause-effect relationships from observational data that scale up to large data sets. As a team, we will work not only on conceptual ideas, but also on more theoretical ideas and computational advances. The project will demonstrate and assess the power of these algorithms by applying them to ecological and biomedical data. Your research will focus on the development of novel algorithms and their application to real-world data. Work environment You will perform research as part of the Machine Learning group within the Intelligent Systems section of the Institute for Computing and Information Sciences (iCIS). The Machine Learning group carries out fundamental and applied research on different aspects of machine learning. We care to show that our theories and algorithms work in practice, by applying them in various different domains, especially in neuroscience and bioinformatics. iCIS and Intelligent Systems received excellent ratings in the latest national research evaluation exercise for computer science. What we expect from you --- You must hold an MSc or equivalent, having demonstrated top performance in a field that is closely related to computer science, artificial intelligence, or mathematics. You should have an interest in conducting original scientific research, publishing the results at top conferences and in scientific journals, and participating in teaching activities. Maturity, self-motivation and the ability to work both independently and as a team player in local and international research teams are expected. You should have an excellent command of written and spoken English. Prior experience with machine learning or statistics will be considered an asset. Programming experience will definitely be helpful. What we have to offer - - competitive salary and additional benefits; - open, interactive, international working environment; - access to excellent computing facilities; - living in Nijmegen, a university town with extensive cultural offerings, scenic surroundings, and a historic center Would you like to know more? For further information, including instructions on how to submit your application, see the official advertisement: http://www.ru.nl/english/working/job-opportunities/details/details-vacature/?recid=556121 Informal inquiries can be made to Tom Heskes (t.hes...@science.ru.nl). -- Tom Heskestel: +31-(0)24-3652696 Machine Learning Group, Intelligent Systems http://www.cs.ru.nl/~tomh iCIS, Radboud University Nijmegen Mercator I, room 2.06b ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Assistant/Associate Professor in Computer Science at the Radboud University Nijmegen
Assistant or Associate Professor Computer Science (tenured; 1,0 fte) A tenured position for Assistant or Associate Professor in Computer Science is available from the Radboud University Nijmegen. Researchers with a background in Machine Learning are specifically encouraged to apply. Deadline: March 15, 2011. More information: http://www.ru.nl/vacatures/details/details_vacature_0?recid=501615 Prof.dr. Tom Heskes Telephone: +31 24 3652696 E-mail: t.hes...@science.ru.nl ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Two PhD students Bayesian machine learning / statistics
Two PhD students Bayesian machine learning for identifying synaptic gene networks (1,0 fte) VU University Amsterdam, Center for Neurogenomics and Cognitive Research (CNCR) Radboud University Nijmegen, Institute for Computing and Information Sciences (iCIS) Maximum Salary: EUR 2,612 gross/month Closing date: 1 March 2011 http://www.nwo.nl/nwohome.nsf/pages/NWOP_8BWBKD Job description === You will be working on the NWO Complexity project SYNCOBE, which aims to identify synaptic gene networks in complex brain disorders. Brain disorders are one of the most pressing health problems in today’s western society. Despite the fact that most brain disorders are highly heritable it has been difficult to identify gene defects causing the disease. Most likely the expected complexity of these diseases, involving interactions between very many genes, hampered the identification of disease genes so far. In this project we want to improve standard methods for identification of disease genes using Bayesian statistics. One PhD student will focus on methods to characterize the gene networks that influence synaptic functioning. Synapses are small dynamic units in the brain of about 1 μm3 in size, which are critical for information processing. Synaptic dysfunction is currently implicated in a wide range of neurological and psychiatric disorders, including neurodegenerative diseases, depression, and mental retardation. The second PhD student will apply Bayesian statistics to investigate whether genetic variation in the gene networks can predict brain disease. On the long run, this must pave the way for new rational therapeutic strategies, exploiting the predictive power of a probabilistic network description. Requirements You should meet the following requirements: A masters degree in computer science, mathematics, physics, bioinformatics or a related field, with a strong interest in (Bayesian) statistics/machine learning, genetics, or cellular (neuro)biology. A strong motivation to pursue a career in science, an interest in working as a team and the ability to work across disciplines are required. Organization The project is a collaboration between CNCR at the VU University in Amsterdam and iCIS at the Radboud University Nijmegen. Both are leading academic communities in the Netherlands. The first PhD student will be primarily based in Amsterdam, the second one in Nijmegen. Websites: http://www.cncr.nl and http://www.ru.nl/is/ml Conditions of employment Employment: 1,0 fte Starting at € 2,042 per month, the salary will increase to € 2,612 per month in the fourth year. Additional conditions of employment === You will be appointed as a PhD student for a period of four years. Your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended by 2.5 years. Additional Information == Dr. Niels Cornelisse (CNCR) Prof.dr. Tom Heskes (iCIS) niels.corneli...@cncr.vu.nl t.hes...@science.ru.nl Application === You can apply for the job before 1 March 2010 by sending your application by email to: Mrs. Els Borghols els.borgh...@cncr.vu.nl ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Positions in machine learning/artificial intelligence
-- Apologies for cross-posting -- *Postdocs/lecturers and PhD students* *Machine learning and artificial intelligence* *Radboud University Nijmegen, the Netherlands* Several postdoctoral/lecturer and PhD student positions are now available in the area of artificial intelligence and machine learning at the Information and Knowledge Systems group of the Radboud University Nijmegen. The focus of the research is on Bayesian machine learning and probabilistic artificial intelligence with applications to (among others) brain-computer interfacing, preference elicitation, and multi-task learning. Excellent candidates with a background in other areas of artificial intelligence are also encouraged to apply. Postdoctoral/lecturer positions range from 2,5 up to 5 years with (negotiable) teaching load between 15% and 40%, salary between 2629 and 4190 euro per month, depending on experience. PhD student positions are for 4 years, salary from 1956 (first year) to 2502 (fourth year) euro per month. Starting dates are negotiable. Funding comes from STW and NWO (Netherlands Organisation for Scientific Research). Applications should contain a full curriculum vitae, list of publications (if applicable, otherwise list of grades), and the names and email addresses of (at least) two referees. Please send your application to Nicole el Moustakim ([EMAIL PROTECTED]) with a cc to Tom Heskes ([EMAIL PROTECTED]). Informal inquiries are welcome. See http://www.cs.ru.nl/~tomh/vacancies.html for more information. Deadline for applications is April 15, 2007. Review of applications will continue until the positions are filled. ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] two postdoc positions on BCI
[with apologies for cross-posting]
Two postdoc positions on Brain Computer Interfacing at the Radboud
University Nijmegen, The Netherlands
Two postdoc positions are available at the Institute of Computing and
Information Sciences and F.C. Donders Centre for Cognitive Neuroimaging,
both at the Radboud University Nijmegen. The postdocs will work on the
STW project "Bayesian brain computer interfacing - interpretation of
patient intentions from single-trial EEG". Project leaders are Tom
Heskes and Ole Jensen.
The positions are for three years ("machine learning") and two years
("source modeling/adaptive filtering"), both with possible extension of
another year. The preferred starting date is September 1, 2005.
Candidates should have a PhD degree in computer science, mathematics,
physics, artificial intelligence, cognitive science or a related study,
with a strong background in signal processing/machine learning.
For more information, see http://www.cs.ru.nl/~tomh/bci_vacancies.html
or contact us at [EMAIL PROTECTED] or [EMAIL PROTECTED]
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[UAI] junior researcher
[with apologies for cross-posting] Marie Curie junior research fellow on Artificial Intelligence at the Radboud University Nijmegen, The Netherlands A junior research position is available at the Institute of Computing and Information Sciences, Radboud University Nijmegen. The junior researcher will work on the Marie Curie project "Artificial Intelligence for Industrial Applications", a collaboration between the bearing manufacturer SKF and ten different research groups throughout Europe. The position is for three years and aims towards a PhD. The fellowship is governed by the format of the Marie Curie Early Stage Training programme, which excludes (in this case) Dutch candidates and prefers residents of the European union and associated countries. Candidates should have a degree in computer science, mathematics, physics, mechanical engineering, artificial intelligence or a related study and have to be fluent in English. For more information, see http://www.cs.ru.nl/~tomh/ai4ia_vacancy.html or contact Tom Heskes at [EMAIL PROTECTED] ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
