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International R & D courses
Fulbright Postdoctoral Fellowship
ARO Postdoctoral Fellowships - Japan
ARO Postdoctoral Fellowships - India and China

Institute of Agricultural Engineering - Central ARO Campus, Rishon Leziyon

Growing, Production and Environmental Engineering Department

  1. Shtenberg Giorgi e-mail Team: Giorgi Shtenberg
    Dual Detection of Inorganic Arsenic: A Real-Time Screening Method
    The main goal of this project is to develop a generic integrated biosensing platform for the detection and quantification of inorganic Arsenic (iAs) pollutants in aqueous solutions at low-level concentrations. We aim to design and construct dual-biosensing platform (optical and electrochemical transduction), based on porous Si optical biosensors and nanostructured sensing electrodes, both modified by robust capture probes, integrated into a microfluidics device that serves as a lab-on-chip platform. The innovative system will allow sensitive, label-free and rapid analysis of real water samples, outside laboratory boundaries, using a simple and portable device.
    Education requirements
    Ph.D within Exact Sciences / Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineering, Nanotechnology, etc.
    Scientific experience
    Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films.
    Skills
    Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills.
  2. Shtenberg Giorgi e-mail Team: Giorgi Shtenberg
    Real-Time Detection of Subclinical Mastitis in Dairy Cows
    The suggested research specifically addresses the most prevalent health problem in dairy cows and major problem for the dairy industry worldwide. Our proposed multidisciplinary approach is based on an innovative combination of new nanomaterials with sensitive, specific and robust capture probes to build an integrated platform, “lab-on-chip”, for label-free biosensing of subclinical mastitis. The system will allow sensitive and rapid detection of “real” milk samples quality and safety, outside laboratory boundaries, using a simple and portable device.
    Education requirements
    Ph.D within Exact Sciences/Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineeringg, Nanotechnology, etc.
    Scientific experience
    Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films.
    Skills
    Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills.
  3. Shtenberg Giorgi e-mail Team: Giorgi Shtenberg
    Triple-Mode Optical Platform for Real Time Screening of Water Bodies Pollutants
    The overall aim of this project is to develop an integrated biosensing platform for “on-site” detection of multiplex pollutants in water bodies. We plan to design and fabricate a sophisticated remote controlled device, based on triple-mode detection (reflectance based) that evaluates in real-time the presence of trace levels of pollutants and the overall safety of water samples. The biosensing platform will combine PSi scaffold (dedicated for bacteria and excessive nutrients contamination) and hybrid AuNPs (designed to react in the presence of metallic constituents) offering unique spectral analysis conducted within a single-device platform.
    Education requirements
    Ph.D within Exact Sciences/Life Sciences, e.g., Chemistry, Chemical Engineering, Biotechnology Engineering, Agricultural Engineeringg, Nanotechnology, etc.
    Scientific experience
    Extensive research experience in the fields (one or more) of analytical chemistry, biochemistry, biological interfaces, electrochemical sensors, material science, microfluidics, nanomaterials, optical sensors, photonics, polymer science, semiconductors processing, surface chemistry, thin films.
    Skills
    Highly experienced researcher, leads independent research projects, including collaborative work with international research Institutes. Professional and skilled in data analysis and troubleshooting. Strong planning, decision making abilities, and encourages a team environment. Excellent oral and written communication, including presentation skills.

Sensing, Information and Mechanization Engineering

  1. Cohen Yafit e-mail Dr. Victor Alchanatis - ARO Prof. Arnon Karnieli - Ben-Gurion University
    Remote sensing for precision irrigation management
    A postdoctoral position is available in remote sensing for precision irrigation – combining high resolution aerial thermal images with coarse resolution satellite visible-near-IR images towards developing a decision-support-system for the irrigation of
    Education requirements
    Geography/ engineering / ecology/ agriculture
    Scientific experience
    Doctorate in relevant scientific areas Publications in international journals
    Skills
    Knowledge in remote sesnting and GIS in agricultural or environmental topics Image processing Programming in R / ArcGIS/ Matlab
Updated on: 27/07/17 09:07
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