Job ID: 245836

INESC TEC | Research Grant (AE2024-0397)

INESC TEC

  • Sep. 26, 2024
 
  • INESC TEC | Research Grant (AE2024-0397)
  • CRIIS
  • INESC TEC
    PORTO
    Portugal
 
  • Oct. 9, 2024
  • Sep. 26, 2024
  •  
 
  • Graduate Student
  • Engineering - Other
 
 

Research Opportunities

Development of Digital Twin technologies and the application of Artificial Intelligence for monitoring and analyzing agricultural systems.

 

Work description

  1. Bibliographic Review: Carry out a comprehensive review of the existing scientific literature on the application of Digital Twins in agricultural contexts, with special attention to the techniques that best adapt to the Mediterranean context.
  2. Data Acquisition and Processing: Participate in the acquisition of data in the field, including data obtained using Unmanned Aerial Vehicles (UAVs), and carry out the processing of this data, ensuring high spatial resolution.
  3. Development of the Digital Twin: Contribute to the development of a digital twin that faithfully represents the agricultural areas of interest, using appropriate software and tools.
  4. Data Integration and Analysis: Implement and test an infrastructure capable of integrating environmental and physiological variables into the digital twin, providing a dynamic and updated representation of agricultural systems.
  5. Validation and Optimization: Validate the developed model by comparing it with observational data and previous studies, adjusting the model as necessary.
  6. Dissemination of Results: Publish research results in renowned scientific journals and participate in the writing of technical-scientific reports that document the advances and discoveries made during the scholarship period.

 

Academic Qualifications

Master's degree in Computer Science, Geosciences, or related areas.

 

Minimum profile required

  • Master's degree in Computer Science, Geosciences, or related areas.
  • Solid knowledge in programming, with Python being preferred due to its relevance in the area of Artificial Intelligence.
  • Ability to develop and apply Artificial Intelligence techniques in the context of modeling complex systems.

 

Preference factors

  • Previous experience in developing Digital Twin models and/or in Artificial Intelligence applications in similar contexts.
  • Scientific publications in areas related to the scholarship object.
  • Good command of the English language, both in written comprehension and in the production of scientific texts.
  • Availability to start activities immediately after granting the scholarship.

 

Application Period

Since 26 Sep 2024 to 09 Oct 2024

 

Centre

Robotics in Industry and Intelligent Systems

 

Scientific Advisor

Joaquim João Sousa

 

What we offer

  • Multicultural and collaborative environment
  • A multicultural, international and collaborative environment that makes it easier to exchange ideas, work in networks and create synergies.
  • International projects
  • The possibility of working in international projects with some of the most important companies in the field.
  • Mentoring
  • Mentoring with the best researchers in the fields of electrical and industrial engineering, bioengineering, information technology and physics.
  • Self Improvement
  • The possibility of participating in international conferences, workshops, seminars and vocational training.
  • Other Benefits and Perks
  • Flexible working time, health insurance, discounts in hotels, transportation, etc.
  • Informal Events
  • Annual informal events, such as the multicultural party.

 

For more information: Click Here


 
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