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Recruitment Form
Personal Info
Fist Name
*
Last Name
*
Email
*
Professional Background
Do you have a MSc degree?
*
Yes
No, but I will obtain a MSc degree soon
No
Can you corroborate a sufficient language proficiency in English (cf. TOEFL test)?
*
Yes
No
I hereby declare that
*
I do not have a PhD yet
I hereby declare that
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I have read and understood the details of the Recruitment Procedure
For which applications are you a candidate?
Maximum 3 positions can be applied for. Select in your order of preference:
First choice
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[select]
DC1) Probabilistic robotic-perception for agriculture (University of Coimbra, Portugal)
DC2) Reliable sensing fusion framework for agricultural robots (University of Coimbra, Portugal)
DC3) Learning transferable skills for agricultural robots (Imec OnePlanet, Wageningen University, Netherlands)
DC4) Run-time self-diagnosis of field robots (Ingeniarius, Portugal)
DC5) Dynamic multi-sensor models for Agri-bots (CNRS, Université de Lorraine, France)
DC6) Network architecture for transfer learning and adaptation of robot behaviour (INRAe, University Clermont Auvergne, France)
DC7) Cognitive architecture for agricultural robots supporting anticipation (University of Extremadura, Spain)
DC8) Active perception and control with edge AI (Imec OnePlanet, Wageningen University, Netherlands)
DC9) Sensor fusion and robotic perception for agricultural robots (University of Extremadura, Spain)
DC10) Adaptive robotic/manually controlled vehicle coordination (Harper Adams University, United Kingdom)
DC11) Information theoretic based collaborative environment sensing for agriculture applications (Loughborough University, United Kingdom)
Second choice
[select]
DC1) Probabilistic robotic-perception for agriculture (University of Coimbra, Portugal)
DC2) Reliable sensing fusion framework for agricultural robots (University of Coimbra, Portugal)
DC3) Learning transferable skills for agricultural robots (Imec OnePlanet, Wageningen University, Netherlands)
DC4) Run-time self-diagnosis of field robots (Ingeniarius, Portugal)
DC5) Dynamic multi-sensor models for Agri-bots (CNRS, Université de Lorraine, France)
DC6) Network architecture for transfer learning and adaptation of robot behaviour (INRAe, University Clermont Auvergne, France)
DC7) Cognitive architecture for agricultural robots supporting anticipation (University of Extremadura, Spain)
DC8) Active perception and control with edge AI (Imec OnePlanet, Wageningen University, Netherlands)
DC9) Sensor fusion and robotic perception for agricultural robots (University of Extremadura, Spain)
DC10) Adaptive robotic/manually controlled vehicle coordination (Harper Adams University, United Kingdom)
DC11) Information theoretic based collaborative environment sensing for agriculture applications (Loughborough University, United Kingdom)
Third choice
[select]
DC1) Probabilistic robotic-perception for agriculture (University of Coimbra, Portugal)
DC2) Reliable sensing fusion framework for agricultural robots (University of Coimbra, Portugal)
DC3) Learning transferable skills for agricultural robots (Imec OnePlanet, Wageningen University, Netherlands)
DC4) Run-time self-diagnosis of field robots (Ingeniarius, Portugal)
DC5) Dynamic multi-sensor models for Agri-bots (CNRS, Université de Lorraine, France)
DC6) Network architecture for transfer learning and adaptation of robot behaviour (INRAe, University Clermont Auvergne, France)
DC7) Cognitive architecture for agricultural robots supporting anticipation (University of Extremadura, Spain)
DC8) Active perception and control with edge AI (Imec OnePlanet, Wageningen University, Netherlands)
DC9) Sensor fusion and robotic perception for agricultural robots (University of Extremadura, Spain)
DC10) Adaptive robotic/manually controlled vehicle coordination (Harper Adams University, United Kingdom)
DC11) Information theoretic based collaborative environment sensing for agriculture applications (Loughborough University, United Kingdom)
Supporting Documents
Upload your CV here, in Europass Format
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Accepted file type: PDF. Maximum file size: 2 MB.
Upload your motivation letter
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Accepted file type: PDF. Maximum file size: 2 MB.
Upload diploma and transcript of records (BSc and MSc)
Accepted file type: PDF. Maximum file size: 2 MB.
Upload language proficiency certificates (if available)
Accepted file type: PDF. Maximum file size: 2 MB.
Upload recommendation letters (if available)
Accepted file type: PDF. Maximum file size: 2 MB.
Reference Persons
First reference person's name
*
First reference person's position and institution
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First reference person's email address
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Second reference person's name
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Second reference person's position and institution
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Second reference person's email address
*
Additional Info
Other information for consideration (e.g., a list of publications if applicable)
For any technical issues please send an email to
info@aigreenbots.eu
.
