28 Mar 2024
Job Information
- Organisation/Company
National University of Science and Technology POLITEHNICA Bucharest- Department
Applied Electronics and Information Engineering- Research Field
Engineering » Knowledge engineering- Researcher Profile
Recognised Researcher (R2)- Country
Romania- Application Deadline
3 Apr 2024 - 16:00 (Europe/Bucharest)- Type of Contract
Temporary- Job Status
Part-time- Hours Per Week
20- Offer Starting Date
15 May 2024- Is the job funded through the EU Research Framework Programme?
European Union / Next Generation EU- Reference Number
E_04_x19- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Posdoctorand 2, Expert Machine and Deep Learning pentru date EO, Proiect specific 1 AI4DTE
We are seeking a highly motivated Postdoc to contribute to our interdisciplinary research efforts. The candidate will be instrumental in designing, developing, and programming advanced DNNs and AI algorithms. The focus of the research will be on extracting meaningful insights from satellite Earth observation (EO) data, developing novel DNN architectures for bi-temporal change detection, and devising innovative approaches for multimodal image registration
The open position (job) is within a project financed within Romania’s National Recovery and Resilience Plan,
Pillar III.Smart, sustainable and inclusive growth, including economic cohesion, jobs, productivity, competitiveness, research, development, and innovation, and a well-functioning internal market with strong small and medium-sized enterprises (SMEs), Component C9.Support for the private sector, research, development and innovation,Investment I5.Establishment and operationalization of competence centers,
Beneficiary: National University of Science and Technology POLITEHNICA Bucharest
Project name: Digital Twin Earth Intelligence for Climate Changes (DTEClimate), CF 760008/30.12.2022, cod 7/16.11.2022. Specific project 1: AI for Digital Twin Earth (AI4DTE).
The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete physical parameters layers that is collected and interpolated globally and unceasing by a cohesive use of EO sensors at maximal joint valorization of Copernicus Sentinels, Earth Explorer, and ESA contributing missions. The methodology is focused on hybrid Physics Informed AI methods, time series, prediction, causality discovery, data analytics, advanced visualization to monitor and forecast natural and human activity in support of sustainable development, and resilience to climate change effects. The new methods will be implemented in a system developed in AI4DTE project
APPLICATION
Before applying, all candidates are invited to read carefully the UPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2022/09/Methodology-fo…
Requirements
- Research Field
- Engineering
- Education Level
- PhD or equivalent
Skills/Qualifications
The applicant must have earned a PhD degree in communication engineering, computer engineering, knowledge engineering, engineering science, or a similar field. The candidate who has held a PhD degree for less than 1 year at the time of application is not eligible. The applicant is working in a research organization. Strong written and oral communication skills along with the ability to work with others in a team-oriented environment at UNSTPB are a must. Experience in programming, Deep Neural Networks, Artificial Intelligence is a must. Laboratory experience and expertise in validation of these methods is strongly preferred. Research abilities and experience in the desired field as demonstrated through first authorship/corresponding authorship or co-authorship on peer-reviewed manuscripts published in ranked ISI journals.
Specific Requirements
The employee will conduct part-time research in an interdisciplinary environment focusing on designing, developing and programming Deep Neural Networks and overall Artificial Intelligence algorithms The research will also focus on developing methods and algorithms to extract spatial and temporal patterns from satellite (EO) data, and developing new DNN architectures for bi-temporal change detection based on computational graphs and an approach for multimodal image registration. Responsibilities consist of conducting computer modelling, corresponding laboratory research for validations, including experimental set-up, experimental design, sample collection, and sample analysis. Responsibilities also include writing of research manuscripts, technical notes as well as other duties as assigned by supervisors.
- Languages
- ENGLISH
- Level
- Excellent
- Research Field
- Engineering
- Years of Research Experience
- 1 - 4
Additional Information
Benefits
All academic staff at National University of Science and Technology POLITEHNICA Bucharest enjoy several benefits, such as training and professional development opportunities, holiday leave, accommodation in the university residences, banking facilities, access to research infrastructure, and software for remote working.
Selection process
Any person who meets the following general conditions can participate in the selection process:
a) knows the English language at an advanced level, written and spoken;
b) has a state of health corresponding to the position for which he is applying, attested on the basis of the medical certificate issued by the family doctor or the authorized health units;
c) fulfils the conditions of studies and, as the case may be, seniority or other specific conditions according to the requirements of the position put up for competition;
d) has not been definitively convicted for committing a crime against humanity, against the state or against the authority, in the service or in connection with the service, which prevents the administration of justice, forgery or acts of corruption or a crime committed with intent, which would make it incompatible with the exercise of the function, except in the situation where rehabilitation intervened.
B. Content of application files:
a) competition registration application;
b) copy of the identity document or any other document certifying the identity, according to the law, as the case may be;
c) documents certifying education, seniority, general and specific experience, in accordance with the requirements of the announcement (e.g. PhD diploma);
d) the criminal record or a declaration on his own responsibility that he has no criminal history that would make him incompatible with the position for which he is applying (the criminal record must be presented by the candidate designated as the winner within 10 working days from the publication of the result end of the recruitment and selection process);
e) medical certificate certifying the appropriate state of health, issued no more than 6 months prior to the selection process by the candidate's family doctor or by the authorized units;
f) CV, dated and signed on each page, certifying identity, according to the law as the case may be.
g) cover letter, list of publications, and a list of three referees with contact information
h) the candidate who has held a PhD degree for more than 5 years at the time of application is not eligible. The applicant is working in a research organization
The application file for the contest must be send via email at [email protected] by attaching a single PDF file.
The candidate designated as the winner within 10 working days from the publication of the result end of the recruitment and selection process must submit the documents to the National University of Science and Technology POLITEHNICA Bucharest headquarters in Splaiul Independenţei, 313, sector 6, postal code 060042, Bucharest, Rectorat building, room 114, telephone 021.4029463 int. 9463.
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Facultatea de Electronică, Telecomunicații și Tehnologia Informației
- Country
- Romania
- Geofield
Where to apply
[email protected]
Contact
- City
Bucharest- Website
https://www.ceospacetech.pub.ro- Street
Splaiul Independenței 313
[email protected]- Phone
+40214029463
STATUS: EXPIRED
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