חברת טלפוניקה ישראל, הממוקמת ברעננה, מחפשת איש/אשת NOC.

סטודנט/ית בתחום הטכני, עדיפות למדעי המחשב/ הנדסה/ סטטיסטיקה
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ניסיון כ-NOC - יתרון
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רקע טכני - יתרון
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ידע ב-SQL, VOIP - יתרון
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אנגלית ברמה גבוהה
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ספרדית - יתרון
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יכולת לעבוד הן בצוות והן באופן עצמאי, יכולות אנליטיות, שירותיות מול לקוחות פנימיים וחיצוניים, יכולת מולטי טאסקינג.

 

*במסגרת מדיניות האוניברסיטה לעידוד גיוון תעסוקתי, ניתנת עדיפות למועמדים העונים על דרישות התפקיד ומשתייכים לאוכלוסיות אלו: חברה ערבית, חרדים, יוצאי העדה האתיופית ומועמדים עם מוגבלות. רק פניות מתאימות תענינה. في إطار سياسة الجامعة لتشجيع التنوّع التوظيفيّ، تُعطى أولويّة للمرشّحين الذين يستوفون متطلّبات الوظيفة وينتمون إلى إحدى المجموعات التالية: المجتمع العربيّ، الحريديم، أبناء الطائفة الأثيوبيّة والمرشّحين أصحاب الإعاقات.

כנס יזמות

במסגרת שבוע המועדון העולמי שילובים מארחת כנס יזמות 19.11.14

19 בנובמבר 2014, 16:00 
אולם רוזנבלט, הפקולטה להנדסה, אוניברסיטת תל אביב  

Cristian Rosenberg Petersen

You are invited to attend a guest lecture

By

 

Christian Rosenberg Petersen

 

(Visiting the group of Prof. Moshe Tur)

Ph.D. student under the supervision of Prof. Ole Bang

Department of Photonics Engineering, Technical University of Denmark,
DK-2800 Kgs. Lyngby, Denmark

 

 

Mid-IR supercontinuum generation in chalcogenide fibers for applications in the molecular fingerprint region

 

The mid-infrared spectral region is of great interest because most molecules display fundamental vibrational absorptions herein, leaving distinctive spectral fingerprints for applications in e.g. spectroscopy, fluorescence microscopy, optical coherence tomography and hyper-spectral imaging. However, many mid-infrared sources are limited either in brightness, wavelength range or coherence, such as thermal emitters, or inconvenient and bulky, such as synchrotron sources. In this presentation we discuss the development of mid-infrared supercontinuum sources based on chalcogenide fibers, which have recently been demonstrated to cover a wide wavelength range from 1.4 μm to 13.3 μm in just 8 cm of fiber. Development of a compact mid-infrared chalcogenide fiber-based supercontinuum source will have key importance for applications such as early detection of skin cancer, gas sensing and food quality control.

 

*Published in: Nature Photonics 8, 830–834 (2014)

 

Wednesday, November 19, 2014, at 13:00

Room 011

 

 

 

 

19 בנובמבר 2014, 13:00 - 14:00 
011 Kitot  
Cristian Rosenberg Petersen

You are invited to attend a guest lecture

By

 

Christian Rosenberg Petersen

 

(Visiting the group of Prof. Moshe Tur)

Ph.D. student under the supervision of Prof. Ole Bang

Department of Photonics Engineering, Technical University of Denmark,
DK-2800 Kgs. Lyngby, Denmark

 

 

Mid-IR supercontinuum generation in chalcogenide fibers for applications in the molecular fingerprint region

 

The mid-infrared spectral region is of great interest because most molecules display fundamental vibrational absorptions herein, leaving distinctive spectral fingerprints for applications in e.g. spectroscopy, fluorescence microscopy, optical coherence tomography and hyper-spectral imaging. However, many mid-infrared sources are limited either in brightness, wavelength range or coherence, such as thermal emitters, or inconvenient and bulky, such as synchrotron sources. In this presentation we discuss the development of mid-infrared supercontinuum sources based on chalcogenide fibers, which have recently been demonstrated to cover a wide wavelength range from 1.4 μm to 13.3 μm in just 8 cm of fiber. Development of a compact mid-infrared chalcogenide fiber-based supercontinuum source will have key importance for applications such as early detection of skin cancer, gas sensing and food quality control.

 

*Published in: Nature Photonics 8, 830–834 (2014)

 

Wednesday, November 19, 2014, at 13:00

Room 011

 

 

 

 

סמינר מחלקתי

27 בנובמבר 2014, 13:30 
חדר 206  
  1.  Classification and Prediction in Multivariate Temporal Data via Time Intervals Mining

    Dr. Robert Moskovitch  - Columbia University

    Abstract:

    Analysis of multivariate time stamped data, for purposes such as Temporal Knowledge Discovery, Clustering and Classification, introduces many challenges. Time stamped data can be sampled in a fixed frequency, commonly when measured by electronic means, but also in a non fixed frequency, often when made manually - a typical situation in biomedical data. Additionally, raw temporal data can represent durations of a continuous or nominal value represented by time intervals. Transforming time point series into meaningful time intervals, using a process often called Temporal Abstraction, is used to bring all the temporal variables, having various representations, into a uniform representation. In this talk KarmaLego, a fast time intervals mining method for the discovery of non-ambiguous Time Intervals Related Patterns (TIRPs) represented by Allen's temporal relations, will be presented. Then several uses of the discovered TIRPs will be demonstrated in the use for temporal knowledge discovery, classification of multivariate temporal data, using the KarmaLegoS framework, in which TIRPs are used as classification features. To increase the classification accuracy a novel supervised Temporal Discretization for Classification (TD4C) method will be introduced, consisting an evaluation on three real life datasets from the biomedical domain. Finally, preliminary results of the use of TIRPs for prediction of outcome events in patient data, such as clinical procedures, will be demonstrated on Columbia University Medical Center EHR data.

    Bio:

    Robert Moskovitch is currently a postdoctoral research scientist at the Department of Biomedical Informatics at Columbia University. Prior to that, he headed several Research and Development projects in Information Security at Deutsche Telekom Innovation Laboratories at BGU. He has served on several journal editorial boards, as well as on program committees of several conferences and workshops in Biomedical Informatics and in Information Security. He published more than fifty peer reviewed papers in leading journals and conferences, several of which had won best-paper awards. He holds a B.Sc., M.Sc., and a Ph.D. in Information Systems Engineering from Ben Gurion University, Israel

    ההרצאה תתקיים ביום חמישי 27.11.14, בשעה 12:10 בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב.

 

סמינר מחלקתי

25 בנובמבר 2014, 14:00 
חדר 206  

High-speed Railroad Passenger Services:

Ridership Projections for the USA’s Northeast Corridor

David Boyce, Ph.D.

Adjunct Professor

Department of Civil and Environmental Engineering

Northwestern University

Abstract:

 

 

Abstract: High-speed railroad passenger services were introduced in Japan in the 1960s, in France in the 1980s, and more recently in South Korea, Taiwan and China. These services operate on specially constructed, grade-separated lines at speeds of 270 to 320 km/hour (170 to 200 mph) at headways between principal city pairs of 15 to 30 minutes. The objective of the research presented in this seminar is to ‘project’ the effects on Amtrak’s Northeast corridor ridership of reducing travel times to the level of high-speed railroad services, based in part on the experience of Japan. We use the term ‘projection’ to connote that this analysis is NOT based on a demand model, but rather is a ‘projection’ based on the observed empirical relationships.

 

Amtrak’s services in the Northeast Corridor, serving Washington-New York-Boston, does not yet operate at the speed and frequency of Asian high-speed railroad passenger services. Using passenger counts for 2010 for these services, gravity models were calibrated for Amtrak’s Acela and NE Regional services. These models project annual station-to-station passenger counts using three variables: metropolitan area populations of the stations served; station-to-station travel times; and dummy variables for selected stations. Using these empirical relationships, travel times corresponding to two types of modern high-speed rail services were assumed, and the implied passenger flows projected for each service. Then, the travel time parameters were changed to values estimated for Japan’s Shinkansen services on the Tokyo-Shin Osaka-Hakata line, and the corresponding flows projected. These findings will be presented and discussed.

BIO: Dr. David Boyce, P.E., is Adjunct Professor of Civil and Environmental Engineering at Northwestern University, and Professor Emeritus at the University of Illinois at Chicago. During over 40 years of academic research and teaching, Professor Boyce has studied important methodological issues related to metropolitan transportation and land use planning. He has formulated and solved urban travel and location forecasting models as constrained optimization problems and related constructs, thereby synthesizing elements of network modeling, discrete choice theory and entropy-based methods.

He served as a faculty member at the University of Pennsylvania (1966-77), the University of Illinois at Urbana-Champaign (1977-88), and the University of Illinois at Chicago (1988-2003). He received his B.S. in civil engineering from Northwestern University in 1961, and his Ph.D. in regional science from the University of Pennsylvania in 1965. He also received his M.C.P. from Penn.

ההרצאה תתקיים ביום שלישי 25.11.14, בשעה 14:00 בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב.

EE Seminar: Prof. Lior Wolf, CS TAU

~~(The talk will be given in English)

Prof. Lior Wolf
Tel Aviv University, School of Computer Science
Monday, November 24, 2014
15:00 - 16:00
Room 011, Kitot Bldg.

Web-Scale Training for Face Recognition
Abstract
Scaling machine learning methods to massive datasets has attracted considerable attention in recent years, thanks to easy access to ubiquitous sensing and data from the web. Face recognition is a task of great practical interest for which (i) very large labeled datasets exist, containing billions of images; (ii) the number of classes can reach tens of millions or more; and (iii) complex features are necessary in order to encode subtle differences between subjects, while maintaining invariance to factors such as pose, illumination, and aging. We present an elaborate pipeline that consists of a crucial network compression step followed by a new bootstrapping scheme for selecting a challenging subset of the dataset for efficient training of a higher capacity network. We show that two distinct properties have surprising effects on the transferability of deep convolutional networks: (1) The bottleneck of the network serves as an important regularization, and that (2) in contrast to conventional wisdom, performance saturation exist in CNN's (when the number of training samples grows) unless the samples are chosen judiciously. By addressing these issues, we are able to greatly improve face recognition accuracy on the widely used LFW benchmark, both in the verification (1:1) and identification (1:N) protocols, and to bridge between the literature and the industry, for the first time, by directly comparing with the state of the art Commercially-Off-The-Shelf system and show a sizable leap in performance.

24 בנובמבר 2014, 15:00 
Room 011, Kitot Bldg., Faculty of Engineering  

Seminar 27.11,14

 

You are invited to attend a lecture

By

 

Hadar Ben-Yoav

Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland

 

On the subject:

 

Nano-Bio-Technology Integrated Micro-Systems for Molecular Monitoring at the "Internet of Things" World

The world is transforming into a digital environment where personal information related to our health, fitness, social activity or commercial preferences as well as data connected with industrial, logistical, and environmental trends is continuously collected from mobile and network sensing devices (The Internet of Things, IoT). Notwithstanding the exponentially increasing activities in developing information technology and tools for IoT platforms, sensing devices thus far provide only basic monitoring capabilities (e.g., movement and heartbeat in Healthcare, humidity and temperature in Environmental Monitoring). Developing miniaturized sensors with novel and specific detection of molecular markers, that better comply with real-world scenarios (e.g., in the human body or in the environment) is the next step linking together vital trending information that will enable IoT more personalized, comprehensive, accessible, and reliable monitoring systems. In this talk, I will present my research addressing the integration of nano-bio-technology with micro-systems for monitoring of chemical and biological markers and their utilization in real-world applications – water toxicity field monitoring and mental healthcare at the point-of-care. Key aspects related to sensor development and process, micro-systems integration, biomaterial reaction and interface with electronics, and sensing of complex systems will be discussed.

 

 

27 November 2014, at 15:00,

Room 011, Kitot Building

 

27 בנובמבר 2014, 15:00 
Kitot 011  
Seminar 27.11,14

 

You are invited to attend a lecture

By

 

Hadar Ben-Yoav

Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland

 

On the subject:

 

Nano-Bio-Technology Integrated Micro-Systems for Molecular Monitoring at the "Internet of Things" World

The world is transforming into a digital environment where personal information related to our health, fitness, social activity or commercial preferences as well as data connected with industrial, logistical, and environmental trends is continuously collected from mobile and network sensing devices (The Internet of Things, IoT). Notwithstanding the exponentially increasing activities in developing information technology and tools for IoT platforms, sensing devices thus far provide only basic monitoring capabilities (e.g., movement and heartbeat in Healthcare, humidity and temperature in Environmental Monitoring). Developing miniaturized sensors with novel and specific detection of molecular markers, that better comply with real-world scenarios (e.g., in the human body or in the environment) is the next step linking together vital trending information that will enable IoT more personalized, comprehensive, accessible, and reliable monitoring systems. In this talk, I will present my research addressing the integration of nano-bio-technology with micro-systems for monitoring of chemical and biological markers and their utilization in real-world applications – water toxicity field monitoring and mental healthcare at the point-of-care. Key aspects related to sensor development and process, micro-systems integration, biomaterial reaction and interface with electronics, and sensing of complex systems will be discussed.

 

 

27 November 2014, at 15:00,

Room 011, Kitot Building

 

בתמונה – דברי ברכה של מר ישראל כשר, תלמידו הראשון של פרופ' מרום באוניברסיטת תל-אביב.

16 נובמבר 2014

פרופ' עמנואל מרום נמנה על מייסדי הפקולטה להנדסה. הוא שימש כדיקאן השלישי של הפקולטה להנדסה בשנים 1980 עד 1983 וכסגן נשיא האוניברסיטה ודיקאן המחקר בשנים 1992 עד 1997.

פרופ' מרום נחשב אחד מהאבות המייסדים של תחום האלקטרואופטיקה בישראל. הוא הנחה והכשיר תלמידים רבים הממלאים כיום תפקידי מפתח בתעשייה ובאקדמיה הישראלית.

גם כיום פרופ' מרום ממשיך במרץ בפעילותו האקדמית, בהנחיית תלמידים לתארים גבוהים ובתמיכה בדור הצעיר של תלמידי האלקטרואופטיקה, דרך הקרן לאלקטרואופטיקה אשר אותה ייסד ובראשה הוא עומד.

בשישי לנובמבר התקיים סימפוזיון חגיגי לציון יום הולדתו השמונים של פרופ' מרום. באירוע השתתפו עמיתים מכל האוניברסיטאות בישראל, תלמידים בעבר ובהווה ובני משפחה.

רשימת המרצים כללה שלושה אורחים מחו"ל –

פרופ' שעיה פיינמן מ UCSD, פרופ' יואל פינק מ MIT  ופרופ' רנה דנדליקר מ EPFL.

כמו כן הרצו תלמידיו לשעבר – פרופ' דוד מנדלוביץ מאוניברסיטת תל-אביב, פרופ' אוריאל לוי מהאוניברסיטה העברית ותלמידו הנוכחי מר הראל חיים. כמו כן הרצה בנו של עמנואל, פרופ' דן מרום מהאוניברסיטה העברית.

 

דר' יקיר חדד

אלקטרודינמיקה ותורת גלים, שיטות אנליטיות, חומרים מלאכותים עם ישומים לאנטנות והתקנים בתדרי מיקרוגל ואור, תופעות גלים הנובעות משלוב תחומי פיסיקה שונים במבנים מרוכבים, דינמיקה לא לינארית, פלסמוניקה וננופוטוניקה.

 

Electrodynamics and wave theory, Analytical methods, Artificial materials with applications in RF and optics, Hybrid-physics waves in complex structures, Nonlinear dynamics, Plasmonics and Nanophotonics

 

עמודים

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