News 4x RA Position Vacant

4x RA Position Vacant

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Job Title Research Associate – ML & AI
No. of Positions 02
Duration Up to 1 year
Fixed Salary Rs. 80,000/- per month
 

School/Institute/Centre

RIMMS, NUST

SPCAI, PAF-IAST

 

1

 

                                     Project Abstract

 

GESTAR: Using Mm-Wave Radar And Ai For Development Of New Gesture Language

 

Gestures are the primary actions that manifest various human expressions, and these manifestations are independent of age, gender, and health conditions. Considering the importance of gestures for communication with the surrounding environment, automatic detection of gestures using the intelligent electronic system is an interesting domain having application in diverse fields. As a fundamental use case, a “touchless” system is an important application of the intelligent electronic gesture recognition approach. A touchless system is effective to communicate with a machine without having physical contact with it, a possible way to avoid the spread of viruses and bacteria such as COVID-19. Depending on the ambient conditions, the SARS CoV-2 virus has been found alive for hours or even days on surfaces, creating a huge risk of transmission through touching of these fomites followed by touching the mouth, nose, or eyes. In public places, these surfaces could range from elevator controls, doorknobs, banks, hospitals & restaurant service counter machines, ATMs, point-of-sale (POS), sanitizing and vending machines, and many more. To prevent surface transmission, touchless sensing, and operation of devices in the above scenarios through micro- gesture recognition (MGR) is a need of the hour. Therefore, this project aims to utilize the latest mm-wave radar technology at 60GHz and augment it with the power of AI to firstly develop a library of micro-gestures and secondly to integrate it with some public use devices to demonstrate touchless sensing.

 

2

 

Functions/Duties (Key Responsibilities)

Research Associate should be able to:

• Plan, manage and report overall project execution

• Technically guide and lead team members

• Interact with the end user for requirements

 

3

 

Requirements

                                                             Essential                                                            Desired
Qualifications Bachelors in relevant field with

experience from HEC recognized                 Master’s degree in relevant field institution

Experience At least 3 years’ experience in

relevant field                                 1 year experience in relevant field

Knowledge/ Skills/Abilities/ Competencies •    Having the experience to lead a project and manage its milestones to report it to principal investigator

•   Having strong research experience and the ability to write research papers.

•    Having a working knowledge of machine learning techniques for embedded systems such as neural networks and decision trees, SVM, and Bayesian classifiers

•    Good working knowledge of Python: pandas, NumPy, sci-kit learn, spicy, matplotlib, Keras, TensorFlow.

•   Having a good understanding of radar data and identifying patterns in it.

•   Knowing product development process

 

4

 

    How to Apply

 

Read the application terms and apply online at  https://spcai.paf-iast.edu.pk/careers/

 

 

Job Title Research Assistant – Radar & RF
No. of Positions 01
Duration Up to 1 year
Fixed Salary Rs. 55,000/- per month
 

School/Institute/Centre

RIMMS, NUST

SPCAI, PAF-IAST

 

1

 

                       Project Abstract

 

GESTAR: Using Mm-Wave Radar And Ai For Development Of New Gesture Language

 

Gestures are the primary actions that manifest various human expressions, and these manifestations are independent of age, gender, and health conditions. Considering the importance of gestures for communication with the surrounding environment, automatic detection of gestures using the intelligent electronic system is an interesting domain having application in diverse fields. As a fundamental use case, a “touchless” system is an important application of the intelligent electronic gesture recognition approach. A touchless system is effective to communicate with a machine without having physical contact with it, a possible way to avoid the spread of viruses and bacteria such as COVID-19. Depending on the ambient conditions, the SARS CoV-2 virus has been found alive for hours or even days on surfaces, creating a huge risk of transmission through touching of these fomites followed by touching the mouth, nose, or eyes. In public places, these surfaces could range from elevator controls, doorknobs, banks, hospitals & restaurant service counter machines, ATMs, point-of-sale (POS), sanitizing and vending machines, and many more. To prevent surface transmission, touchless sensing, and operation of devices in the above scenarios through micro-gesture recognition (MGR) is a need of the hour. Therefore, this project aims to utilize the latest mm-wave radar technology at 60GHz and augment it with the power of AI to firstly develop a library of micro- gestures and secondly to integrate it with some public use devices to demonstrate touchless sensing.

 

2

 

Functions/Duties (Key Responsibilities)

Research Assistant (Radar & RF) should be able to:

• Program Evaluation boards, Development kits

• Handle RF equipment

• Knowledge of precautions for handling RF components and equipment

 

3

 

Requirements

                                                        Essential                                                           Desired
 

 

 

Qualifications

Bachelors in

Electronics/Electrical                        Enrolled in MS program in relevant

Engineering or relevant field                                             field

with experience from HEC

recognized institution

 

Experience

3 year experience in RF &                     1 year experience in relevant field

Microwave

Knowledge/ Skills/Abilities/ Competencies •   Knowledge of Radar, RF and Microwave and Antennas.

•    Expertise with configuring Radar Embedded modules for acquiring data, microcontrollers and microprocessors would be a plus.

•   Experience with MATLAB, Python & C.

 

4

 

      How to Apply

 

Read the application terms and apply online at  https://spcai.paf-iast.edu.pk/careers/

 

 

Job Title Research Assistant Embedded & Power Electronics
No. of Positions 01
Duration Up to 1 year
Fixed Salary Rs. 55,000/- per month
 

School/Institute/Centre

RIMMS, NUST

SPCAI, PAF-IAST

 

1

 

     Project Abstract

 

GESTAR: Using Mm-Wave Radar And Ai For Development Of New Gesture Language

 

Gestures are the primary actions that manifest various human expressions, and these manifestations are independent of age, gender, and health conditions. Considering the importance of gestures for communication with the surrounding environment, automatic detection of gestures using the intelligent electronic system is an interesting domain having application in diverse fields. As a fundamental use case, a “touchless” system is an important application of the intelligent electronic gesture recognition approach. A touchless system is effective to communicate with a machine without having physical contact with it, a possible way to avoid the spread of viruses and bacteria such as COVID-19. Depending on the ambient conditions, the SARS CoV-2 virus has been found alive for hours or even days on surfaces, creating a huge risk of transmission through touching of these fomites followed by touching the mouth, nose, or eyes. In public places, these surfaces could range from elevator controls, doorknobs, banks, hospitals & restaurant service counter machines, ATMs, point-of-sale (POS), sanitizing and vending machines, and many more. To prevent surface transmission, touchless sensing, and operation of devices in the above scenarios through micro- gesture recognition (MGR) is a need of the hour. Therefore, this project aims to utilize the latest mm-wave radar technology at 60GHz and augment it with the power of AI to firstly develop a library of micro-gestures and secondly to integrate it with some public use devices to demonstrate touchless sensing.

 

2

 

Functions/Duties (Key Responsibilities)

Research Assistant (Embedded/Power) should be able to:

• Design embedded, power circuits

• Simulate and Design circuits

• Design PCBs

• Stuff and test the designed modules

 

3

 

Requirements

                                                                Essential                                                         Desired
 

 

Qualifications

Bachelors in Electronics/Electrical

 

Engineering or relevant field with       Enrolled in MS program in relevant field experience from HEC recognized

institution

Experience 1 year experience in Embedded       2 years’ experience in Embedded Systems

Systems and Power Electronics                         and Power Electronics

Knowledge/ Skills/Abilities/ Competencies •    Knowledge of Embedded Systems and expertise in using Microcontrollers and Microprocessors in Power Electronics applications.

•    Working knowledge of elevator systems, ATMs that require human interaction would be a plus.

 

4

 

How to Apply

 

Read the application terms and apply online at  https://spcai.paf-iast.edu.pk/careers/