HENESIS s.r.l. Strada Budellungo, 2 43123 Parma (PR), Italy P.IVA/VAT/CF: 02280660354 C.C.I.A.A. PR-239863

HENESIS limited 31 Ferguson Drive Knockmore Hill Industrial Park, Lisburn - N. Ireland, BT28 2EX VAT: GB195297754

PhD in Machine Learning applied to Multi-modal Behavioral Analysis. Fully funded PhD @ University of Parma (Italy) Sponsored by Henesis s.r.l. - part of Camlin Group Topic: Research state-of-the-art and beyond on multi-modal behavioral analysis where machine learning enables higher level reasoning between a variety, in type and location, of sensors. Description: This PhD activity fits within the current Henesis' core R&D activity in the field of new-generation Multi-modal Behavioral Analysis systems. In particular the researcher will work in collaboration with Henesis' team focused on creating beyond-state-of-the-art systems that enable new applications of automated behavioral analysis. Strong emphasis will be put on novel deep-learning approaches, machine vision and audio processing. Address/Job Location: University of Parma (main site) / Henesis s.r.l.– Parma, Italy We require: • Master degree in Computer Science or Physics or Applied Mathematics. • Coding experience in modern programming languages (Python, C, C++, Qt4/5 preferred)

• Background in Machine Learning (or Artificial Intelligence) and Machine Vision • Personal interest and/or knowledge of bio-inspired computing and modeling architectures We Offer: • Fully funded PhD (with travel funding) • Dynamic international working environment and opportunity of cooperation with leading experts in different fields • Part of the work in the framework of international research projects

• Support in relocating to Parma (Italy) (some limitations may apply) About us: Henesis, established in 2007 as an R&D intensive SME, spin‐off of Scuola Superiore Sant’Anna in Pisa, entered the Camlin Group in July 2014. Henesis conceives and develops intelligent embedded systems for the acquisition and processing of information, operating mainly in the fields on artificial intelligence, wireless sensor networks, machine vision, audio and signal processing. Our intrinsically multimodal systems operate in multiple sectors, such as environmental and structural monitoring, predictive maintenance of train pantographs and industrial plants, advanced embedded visual‐acoustic processing, human‐ machine interfaces, intelligent transportation. More information and application:

http://www.unipr.it/didattica/post-laurea/dottorati-di-ricerca information via [email protected]

ONLINE REGISTRATION BEFORE 4th September 2015 [email protected] www.henesis.eu

Tel: (+39) 0521.1854211 - Fax: (+39) 0521.1854515 Skype: henesis_srl

1

PhD in Machine Learning applied to Multi-modal ... -

will be put on novel deep-learning approaches, machine vision and audio processing. Address/Job Location: University of Parma (main site) / Henesis s.r.l.– Parma, Italy. We require: • Master degree in Computer Science or Physics or Applied Mathematics. • Coding experience in modern programming languages (Python, ...
Download PDF
81KB Sizes 0 Downloads 189 Views
Report

Recommend Documents

Applied Machine Learning - GitHub
In Azure ML Studio, on the Notebooks tab, open the TimeSeries notebook you uploaded ... 9. Save and run the experiment, and visualize the output of the Select ...
Applied Machine Learning - GitHub
Then in the Upload a new notebook dialog box, browse to select the notebook .... 9. On the browser tab containing the dashboard page for your Azure ML web ...
Applied Machine Learning - GitHub
course. Exploring Spatial Data. In this exercise, you will explore the Meuse ... folder where you extracted the lab files on your local computer. ... When you have completed all of the coding tasks in the notebook, save your changes and then.
Applied Math and Machine Learning Basics - GitHub
reality and using a training algorithm to minimize that cost function. This elementary framework is the basis for a broad variety of machine learning algorithms ...
Introduction To Machine Learning - PDFKUL.COM
Logistic Regression: Predictions. LogOdds (wTx + b) pass linear model through a sigmoid. (pictured to the right). Probability. Output. Recall that: linear model ...
Multimodal Transfer Deep Learning with Applications in ...
∗Language Technologies Institute, †Electrical and Computer Engineering, ... representations of audio and video data using the parallel dataset (XA and XV ) ...
Artificial Intensity Remapping: Learning Multimodal ...
University of California at Berkeley ... non-multimodal data with AIR outperforms state-of-the-art algorithms not only .... The model trained with AIR had the best.
Machine Learning in Computer Vision
More specifically, machine learning offers effective methods for computer vision for ... vision problems, we find that some of the applications of machine learning ... The Internet, more specifically the Web, has become a common channel for ..... Cha
Machine Learning In Chemoinformatics - International Journal of ...
Support vector machine is one of the emerging m/c learning tool which is used in QSAR study ... A more recent use of SVM is in ranking of chemical structure [4].
Cifre PhD Proposal: “Learning in Blotto games and ... - Eurecom
Keywords: Game theory, sequential learning, Blotto game, social networks, modeling. Supervisors ... a list of courses and grades in the last two years (at least),.
Introduction To Machine Learning Services
Training: A Gradient Step starting point value of weight w loss. (negative) gradient next point .... Models tend to converge faster if features on similar scale. Transforming Numeric Features ...... Example using LinearClassifier to learn 10 classes
Boyarshinov, Machine Learning in Computational Finance.PDF ...
Requirements for the Degree of. DOCTOR ... Major Subject: Computer Science .... PDF. Boyarshinov, Machine Learning in Computational Finance.PDF. Open.
Brief Introduction to Machine Learning without Deep Learning - GitHub
is an excellent course “Deep Learning” taught at the NYU Center for Data ...... 1.7 for graphical illustration. .... PDF. CDF. Mean. Mode. (b) Gamma Distribution. Figure 2.1: In these two ...... widely read textbook [25] by Williams and Rasmussen
PhD Scholarships on Spatial Learning ... - Angela Schwering
Citizens collect and analyze data to investigate a (scientific) question which is of relevance for themselves and the city. The project to be developed can (but ...
PhD Scholarships on Spatial Learning ... - Angela Schwering
spatial learning / GI education in the context of open cities. ... Teachers are often the bottleneck when it comes to using new technologies in education. Thus, the PhD ... the PhD topic will be aligned to the background of the PhD candidate.
Machine learning - Royal Society
a vast number of examples, which machine learning .... for businesses about, for example, the value of machine ...... phone apps, but also used to automatically.
Machine learning - Royal Society
used on social media; voice recognition systems .... 10. MACHINE LEARNING: THE POWER AND PROMISE OF COMPUTERS THAT LEARN BY EXAMPLE ..... which show you websites or advertisements based on your web browsing habits'.