System Test Design Engineer

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering or a related field.
  • 3+ years related experience in software development
  • Programming experience in one or more programming languages: Perl, Python, Cּּ++
  • Familiarization with UNIX/Linux OS operating systems
  • Familiar with the lab environment and tools such as oscilloscopes, multimeters, signal generators

Ways to stand out from the crowd:

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Physical design Engineer

We are looking for a candidate with the following experience

  • B.SC./ M.SC. in Electrical Engineering/Computer Engineering
  • 0-3 years of experience in physical design.

Ways to stand out from the crowd

  • Great teammate.
  • Knowledge in physical design flows and methodologies (PNR, STA, physical verification)
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc..)
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Board Design HW Engineer

What we need to see:

  • 2-5 years as a Board Designer
  • B.Sc in Electrical Engineering 
  • Self-instruction, project management skills, good interpersonal relationship, team work, multitasking

Ways to stand out from the crowd:

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Experienced Hardware Engineer | FPGA &Board Design Engineer

Qualifications

  • Proven success in full design-cycle ownership from concept to production release
  • Bachelor’s degree in Electronic Engineering
  • At least 5 years of experience as board designer

Advantages:

  • Experience in FPGA Design/Tools of Intel (Altera)
  • Knowledge in Expedition cad tool
  • Experience with Signal & Power integrity tools.
  • Experience designing to comply with safety and EMC standards
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סמינר מחלקה הנדסת תעשייה

24 בנובמבר 2020, 14:00 
ZOOM  
ללא עלות
סמינר מחלקה הנדסת תעשייה

~~Autonomous On-Demand Transit Services Over Existing Guideways
Omer Karny
M.Sc. candidate at the AUTOlab, the Department of Industrial Engineering, Tel Aviv University

 
The lecture   will   be held  on
Tuesday, November 24, 2020, at 14:00 Via Zoom 
https://us02web.zoom.us/j/81629327845?pwd=a3NWNzI4cjd1R09nMCtJL3VZcU5WZz09

Abstract:
Technological advances in vehicle autonomy, vehicle connectivity and vehicle electrification are expected to revolutionize urban mobility by enabling seamless on-demand mobility services. However, due to regulatory, behavioral, moral and cyber-security barriers, a significant adoption of fully autonomous vehicles is only projected to occur in two to three decades. Nevertheless, in the near future, new mobility services that are based on autonomous vehicle technology may be implemented at a large scale, in dense city centers, by deploying them in controlled environments.
In this research, we examine for the first time the potential of transforming existing guideway based public transportation systems (tram, light-rail, regional trains, BRT) to novel on-demand point to point services by utilizing current technological capabilities. In particular, our objective it to reveal the characteristics of existing systems that have high potential to be successfully transformed to the proposed on-demand services. For this purpose, we have developed an approximate model and a simulation model that represent the dynamics of the service. The approximate model is based on the Israeli Queue model which allows accurately measuring the waiting times of the passengers under ridesharing policies. The simulation model replicates in more details the operations of the proposed service while relaxing several simplifying assumptions made in the approximate model. Numerical results obtained for case studies derived from several public transit systems around the world, confirm that the proposed service can indeed improve the quality of service provided to the users. In some cases, such improvements represent up to 50% reduction in the average waiting time. Furthermore, the numerical results highlight scenarios under which the approximate model is accurate. Lastly, some scenarios in which the approximate model is not accurate has opened the door for the exploration of a new queuing model in a future study.
This work was performed under the supervision of Dr. Mor Kaspi
 

Bio:
Omer Karny is a Master student in Tel Aviv University’s Industrial Engineering (Business Analytics) program. He holds a B.Sc. in Mathematics and Computer Science from Ben-Gurion University. Omer is a Major in a combat unit of the IAF, where he has served for the past 12 years. During his time in the IAF, he has received several rewards for outstanding service. Currently, he holds a position in a company that develops cyber-security solutions for industrial automation

 

Strategic Quality Engineer

Responsibilities:

  • Lead & Ensure proper investigation for customer complaints
  • Drive on time implementation of corrective and preventive actions
  • Proactively Identify and address key processes and quality gaps that might impact customer experience
  • Apply lesson learned across models and divisions
  • Present investigation status to internal and external customers

Qualifications:

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Product Analyst Student for Advanced Analytics

  • First or a second-year student currently pursuing a Bachelor of Science degree majoring in Industrial Engineering or Information System Engineering
  • Students in advanced degrees with experience in Data Mining, Text Mining, Predictive Analytics - an advantage
  • Capacity to work 2 - 2.5 days a week in parallel to the studies
  • Excellent analytical skills
  • Mature and independent Highly and self-motivated
  • Willing to work on multiple numbers of tasks in parallel
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הנכם מוזמנים לסמינר של ישעיהו לוין - סטודנט לתואר שני - שימוש בראומטר לאפיון חלקיקים לצרכי שינוע וטיפול

09 בדצמבר 2020, 14:00 - 15:00 
הסמינר יתקיים בזום  
0
הנכם מוזמנים לסמינר של ישעיהו לוין - סטודנט לתואר שני - שימוש בראומטר לאפיון חלקיקים לצרכי שינוע וטיפול

 

 

"ZOOM" SEMINAR

School of Mechanical Engineering Seminar
Wednesday, December 9, 2020 at 14:00

 

Characterization of particles for conveying and handling using a Rheometer

 

by

Yeshayahu Levin

MSc. student Prof. Amos Ullmann and Prof. Haim Kalman

 

Hydraulic and pneumatic conveying systems of powder and granular solids are based on drifting particles by gas or liquid flow and thus transporting them from place to place. In designing such conveying systems, the flow velocity must be determined so that the system is as efficient as possible. The flow velocity at which particles immersed at the bottom of the tube rise and drift with the flow is called the Pick-up velocity or Critical velocity. In designing the flow velocity in the system, the Pick-up velocity must be taken into account. Additionally, classifying the particles in the mixture as 'settling' or 'non-settling' may simplify the calculations and the design of conveying systems.

The research deals with measuring powders and suspensions viscosity, Pick-up velocity, and classifying particles in mixtures as 'settling' or 'non-settling' using a rheometer, a device that usually used for measuring fluid viscosities.

The measurements are based on analyzing the properties of suspensions. In particular, on the fact that the suspension viscosity increases as the particle concentration increases. Thus, the velocity at which particles from the sediment layer rise into the flow can be identified by following the changes in the suspension viscosity while increasing the impeller rotation speed. Analyzing the viscosity of the suspension when the speed decreases gradually, allows characterizing the particles as 'settling' or 'non-settling'.

The measurements conducted using the rheometer were compared to the results and correlations presented in previous studies. We show that measuring the Pick-up velocity with a rheometer, which is simpler and faster than the common methods in the field, can achieve the same results. Additionally, we show that by using a rheometer it's possible to expand the existing knowledge on classifying particles in slurries as 'settling' or 'non-settling'.

 

https://zoom.us/j/96584758181?pwd=WC9PMXdsYzJ3NFdEN2Q5ZUtOZEVjdz09 The meeting will be recorded and made available on the School’s site.

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