Postdoctoral position in Computer Vision & Machine Learning – [ Postdoc ] BC 75470
Workplace: Genova, IIT, ITALY
Added on: 26/06/2018 – Expires on: 15/09/2018
The Pattern Analysis and Computer Vision Research Line (PAVIS) at IIT in Genova is looking for a highly qualified post doc with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video
analysis, behavior understanding and prediction. As the activities may be carried out in collaboration with other IIT research units, the previous multidisciplinary experience is an added value which will be duly considered.
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other
IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively
and in cooperation with external private and public partners.
In particular, this call aims at consolidating PAVIS expertise in the video surveillance area and especially on action/activity recognition and scene understanding from video sequences and other sensory modalities.
In particular, the following topics are of interest:
Analysis of static and dynamic scenes.
Recognition (objects, scenes, actions, events, etc.) and reconstruction.
Behavior Analysis and Activity Recognition (individuals, groups, crowd).
Prediction of intentions.
Mutimodal data analysis
From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects (itâ€™s not an exhaustive list): Deep Learning, Graphical Models, Topic Models, Representation/Feature Learning, Sparse and Dictionary Learning,
Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general.
Candidates for this position have a Ph.D. in Computer Vision, Machine Learning, Pattern Recognition or related areas. Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality
research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
Moreover, experience in the preparation and management of research proposals (EU, US, national) and industrial research projects, a few years of postdoc experience, either in academia or in an industrial lab, will also be duly considered. The winning candidate
will also be asked to contribute to setting up new (funding) project proposals and will participate in funding activities.
He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.
Salary will be commensurate with qualification and experience and in line with international standards.
Further details and informal enquiries can be made by email to firstname.lastname@example.org quoting PAVIS-PD 75470 as reference number.
Please send your completed application forms by September 15, 2018. Application must include: a curriculum listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience
and outlining its relevance to the above topics and the name of 2 referees by email to email@example.com quoting PAVIS-PD 75470 as reference number.
IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10-state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT’s research endeavor
focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.
Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 – email: firstname.lastname@example.org).
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.
20th International Symposium on Aviation Psychology
Call for Proposals
The 20th ISAP will be held in Dayton, Ohio, U.S.A., May 7-10, 2019 (Tuesday â€“ Friday).
Proposals are sought for posters, papers, symposium and panel sessions, and workshops. Any topic related to the field of aviation psychology is welcomed. Topics on human performance problems and
opportunities within aviation systems, and design solutions that best utilize human capabilities for creating safe and efficient aviation systems are all appropriate. Any basic or applied research domain that generalizes from or to the aviation domain will
Students are especially encouraged to participate in the The Stanley Nelson Roscoe Best Student Paper Competition.
Visit http://aviation-psychology.org for more information.
Deadline for proposal submissions is October 5, 2018.
Pamela Tsang and Michael Vidulich (Symposium Co-Chairs)
Contact email@example.com for any questions.
–Apologies for multiple posting
Tenure-track Positions in Learning & Plasticity
of Psychological and Brain Sciences at
the University of Iowa invites applications from candidates studying behavioral, cognitive, or affective change. This search is part of a multiyear effort to build a community of collaborative scholars who study the mechanisms and processes of learning and
plasticity in humans and non-human animals at multiple levels of analysis and from a diversity of perspectives. This search is open to applicants across all areas of psychology (e.g., clinical, social, developmental, and cognitive psychology) who use behavioral
and/or neuroscience approaches. We are also interested in applicants from allied fields (e.g., robotics, education) and those who work in interdisciplinary areas (e.g., computational neuroscience, socioemotional development). We are focusing these hires at
the rank of assistant and associate professor. Applications will be considered on a rolling basis, with screening of applicants beginning on September 4, 2018. Appointments will begin as early as August 2019.
The University of Iowa is a leading public university located in Iowa
City, a midsize community with a high quality of life. The Department of Psychological and Brain Sciences is experiencing vigorous growth and enhancement, including construction of a new building. The University is also making substantial investments in
neuroscienceâ€”already a large community with more than 100 faculty members across five colleges and 26 departmentsâ€”including the recent founding of the Iowa
Neuroscience Institute and the creation of a new undergraduate major in neuroscience. The DeLTA
Center brings together a vibrant campus-wide community of researchers interested in all aspects of learning and development.
There are extensive opportunities for collaboration with researchers in the College of Liberal Arts and Sciences, the Carver College of Medicine, the College of Education, and the College of Public Health. The university also supports a variety of state-of-the-art
research facilities, including the Iowa
Magnetic Resonance Facility, which includes 3T and 7T scanners, the Central
Microscopy Research Facility, and the Iowa
Institute of Human Genetics.
Qualified applicants should have a Ph.D by August 15, 2019. Candidates must identify principally with a traditional psychological sub-discipline or may adopt an inherently interdisciplinary perspective; have a record of research productivity and external funding
commensurate with their level of experience. Independent teaching experience is desirable.
To apply, please visit the electronic submission website at http://jobs.uiowa.edu and
refer to requisition #73268. Materials should be submitted electronically, including a letter of interest, curriculum vitae, copies of selected scholarly papers, research statement, and email contact information for three letters of recommendation. Informal
inquiries about the position can be directed to the department chair, Mark Blumberg, at firstname.lastname@example.org.
The Department of Psychological & Brain Sciences and the College of Liberal
Arts & Sciences are strongly committed to diversity; the strategic plans of the University and College reflect this commitment. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis
of race, creed, color, national origin, age, sex, pregnancy, sexual orientation, gender identity, genetic information, religion, associational preference, status as a qualified individual with a disability, or status as a protected veteran. The University
of Iowa is an equal opportunity/affirmative action employer.