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Institute of Agricultural Engineering - Central ARO Campus, Rishon Leziyon

Growing, Production and Environmental Engineering Department

  1. VITOSHKIN HELENA e-mail Team:Prof. Abraham Kribus, School of Mechanical Engineering, Tel Aviv University, Israel
    Modeling and simulation of solar power generation in open agriculture fields (agrivoltaics)
    In our research group, we are developing a new approach to agrivoltaics, with the goal of enhanced performance compared to available configurations. It will focus on co-developing the same area of land for both solar photovoltaic power as well as for conventional agriculture. The study includes analyses, model development and measurements.
    Education requirements
    Ph.D. in Mechanical Engineering, Physics or related fields with a focus on modeling of solar power systems
    Scientific experience
    Due to the broad research vision, the applicant should have demonstrated experience working in projects that deal with renewable energy sources and transport phenomenon at both the laboratory and field scale.
    Knowledge of scientific software and experience with optic measurement methods applied to problems of transport. phenomena
  2. SHTENBERG GIORGI e-mail Team:Giorgi Shtenberg, Narsingh Raw Nirala
    Development of miniaturized optical sensing platform for identification and characterization of botulinum toxin
    The main hypothesis of the study is that a single miniaturized biosensing platform can perform several sequential operations: analyte immobilization, molecular separation, specific detection of the target analyte and monitoring its catalytic activity by optical transduction (by evaluating the characteristic reflectivity spectrum obtained from the predefined porous material), thus allowing for precise, rapid, high-throughput and label-free analysis of real livestock/field samples. As a proof-of-concept, a self-reporting lab-on-chip will be designed to identify specific BoNT and evaluate their biological activity for source and risk assessment. Our hypothesis relies on our laboratory’s extensive experience 4, 5, 8-13 and on Sailor’s et al. research studies 14-17 with nanostructured PSi biosensors, demonstrating highly-efficient optical detection of various target molecules (e.g., bacteria, proteins, enzymes, nucleic acids and peptides) and direct and real-time measurement of proteolytic
    Education requirements
    Ph.D. in Life sciences, Chemistry, Biotechnology, Nanotechnology, Biochemistry
    Scientific experience
    Extensive experience in fields of research of semiconductors, optical sensors (biosensors), nanomaterials, microfluidics systems, surface chemistry, polymer science, biological interfaces and protein engineering.
    Professional and skilled in data analysis and troubleshooting
  3. SHTENBERG GIORGI e-mail Team:Giorgi Shtenberg, Silvia Tomburu
    Optical and Electrochemical Combined Biosensing Method for Rapid Trace Heavy Metal Detection
    Herein we propose to develop a generic integrated biosensing platform for on-site detection and quantification of heavy metal pollutants in aqueous solutions, specifically for three model ions of arsenic, lead and copper. We plan to design and fabricate a self-reporting lab-on-chip device, based on dual-detection-modes (optical and electrochemical) that evaluates in real-time the presence of trace levels of metallic pollutants and the overall safety of water samples. The biosensing platform will be based on a microfluidics device, incorporating multilayer porous Si scaffold and nanostructured sensing electrodes impregnated within discrete microchannels offering induced sensitivity for multi-analytes detection by optical and electrochemical transduction, respectively. The pioneering biosensing architecture 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 in Nanotechnology, Electrochemistry, Biochemistry, Chemistry, Biotechnology, Material Sciences and Engineering
    Scientific experience
    Extensive research experience in the fields of semiconductors, photonics, optical sensors (porous silicon based biosensors), nanomaterials and thin films, microfluidics, surface chemistry, polymer science and biological interfaces.
    Professional and skilled in data analysis and troubleshooting. Data oriented, broad-based management skills, strong planning, decision making abilities, mentors staff and encourages a team environment.

Sensing, Information and Mechanization Engineering Department

  1. SCHMILOVITCH ZE'EV e-mail Team:Orr Shapiro and Shlomo Sela co-researchers
    Internal quality attributes of produce by spectroscopy methods
    Using near Infrared spectrometry to measure BRIX acidity in fruits and application in sorting machines. Using Raman spectroscopy to detect Mycotoxin Algae. Using FTIR to identify pathogens in produce.
    Education requirements
    PhD or MSc in Engineering, Optics, Food technology
    Scientific experience
    Post Harvest Engineering, Spectroscopy, Statistics
    Working in lab and field, analysing complexes data
  2. TEITEL MEIR e-mail Team:Dr. Farhad Geoola, Dr. Hagai Yasuor, Dr. Josef Tanny
    Sustainable Production in Protected Cultivation via Improved Management, Monitoring and Control of microclimate
    The project deals with development of innovative, low cost and energy efficient houses for protected cultivation (greenhouses & screenhouses). Emphasize will be given to basic understanding of processes followed by improved design of ventilation & cooling systems. The main objectives are: (i) to alleviate the high heat load and reduce high humidity which have been often observed inside these houses in recent years, due to the global climate change and (ii) to develop innovative methods/instrumentation for measurement of whole canopy water use efficiency.
    Education requirements
    Ph.D. in Agricultural or Mechanical engineering.
    Scientific experience
    The applicant should have experience in measurement of environmental parameters such as solar radiation, heat and vapor fluxes, temperature and humidity. A good theoretical background in engineering aspects of heat transfer and fluid mechanics is required. Knowledge and experience in computational fluid dynamics (CFD) analysis is an advantage.
    Fluent in English, good programming skills with scientific software, good background with data logging. Willingness to learn, curiosity, ability to work in a scientific group, leadership and initiative character.
  3. VERNICK SEFI e-mail Team:Our interdisciplinary lab is developing a new class of bioelectronic sensors for diagnostic applications. We focus on: • Detection of protein and genetic biomarkers using electrochemical biosensors • Development of flexible biochips for detection of pat
    Bioelectronic and electrochemical biosensors for the detection of pathogens
    Bio-electrochemical/electronic assay platforms for pathogen diagnostics • Detection of phytopathogenic genetic and protein biomarkers. • Detection of food pathogenic biomarkers • Develop bioelectronic nanoscale devices for VOC detection
    Education requirements
    PhD in one of the following fields: Electrical engineering (preference to devices, circuit design, VLSI etc.) Chemistry (preference to Physical chemistry) Biotechnology
    Scientific experience
    Candidates should have a strong background in bioengineering and conjugation of biomolecules to solid state materials or alternatively, electro-analytical chemistry with biological applications
    Candidates with natural sciences background (chemistry) should have th efollowing expertise: -(bio)conjugation chemistry -experience with spectroscopies such as: UV-vis-IR, Raman and FTIR -advantage to bioanalytical assays (ELISA) Candidates with EE background should have the following expertise: -CAD software -MATLAB -Microelectronic fabrication with hands on clean room experience
Updated on: 30/07/18 12:54
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