Postdoctoral Scholarship Job Posting - USP - Multimodal Urban Sensing

2 May 2024
Job Information

Organisation/Company

University of Sao Paulo

Department

Computer Science Department

Research Field

Computer science » Other

Researcher Profile

Established Researcher (R3)

Country

Brazil

Application Deadline

10 Jun 2024 - 23:59 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

40

Offer Starting Date

2 May 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

** Project Summary:

Urban environments are brimming with data captured by an ever-expanding array of multimodal sensors. Cameras, LiDAR, microphones, and environmental sensors paint a rich picture of city dynamics. This project fuses this diverse data using machine learning to gain a deeper understanding of urban life. We explore applications in areas like traffic management, public safety, environmental monitoring, and urban planning.

** Specific Research Areas:

• Develop computer vision algorithms to analyze public datasets (e.g., SideSeeing , StreetAware ).
• Implement edge computer vision for real-time analysis on sensor hardware.
• Design privacy-preserving solutions like anonymization and federated learning.
• Develop strategies for multimodal data acquisition at specific locations (e.g., bus stops).
• Craft methods to extract insights and identify critical events from sensor data.

** Candidate Qualifications:

• PhD in Computer Science, Engineering, Physics, Math, or a related field.
• Strong background in mathematical modeling and programming.
• Research experience and publications in image processing, computer vision, machine learning, natural language processing or other AI fields.
• Excellent English communication skills (written and oral).

** About the Fellowship:

The selected candidate will receive a FAPESP fellowship with potential benefits including:

• Initial funding for 2 years
• Annual fellowship of R$110K
• Overhead for travel expenses (conferences)
• Moving assistance (including flight tickets to São Paulo)
• More information on FAPESP: http://www.fapesp.br/en/5427

** About USP:

The University of São Paulo, a prestigious institution and top-ranked university in Latin America, boasts a Computer Vision Group at IME-USP with over 20 years of experience in machine learning research and strong international collaborations.

** Application Process:

Please submit the following documents to [email protected] with the subject line "Application to Postdoctoral Scholarship on Multimodal Urban Sensing":

• Curriculum Vitae
• Link to ORCID, Google Scholar, or ResearcherID
• Two recommendation letters

Application Deadline: June 10th, 2024

** References related to the project

• Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.
• Hosseini, M., Sevtsuk, A., Miranda, F., Cesar Jr, R. M., & Silva, C. T. (2023). Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery. Computers, Environment and Urban Systems, 101, 101950.
• Li, C., Jiang, X., Jiang, H., Sha, Q., Li, X., Jia, G., ... & Zheng, J. (2022). Environmental Controls to Soil Heavy Metal Pollution Vary at Multiple Scales in a Highly Urbanizing Region in Southern China. Sensors, 22(12), 4496.
• Liu, Y., Zhang, Y., Wang, Y., Hou, F., Yuan, J., Tian, J., ... & He, Z. (2023). A survey of visual transformers. IEEE Transactions on Neural Networks and Learning Systems.
• Piadyk, Y., Rulff, J., Brewer, E., Hosseini, M., Ozbay, K., Sankaradas, M., ... & Silva, C. (2023). StreetAware: A High-Resolution Synchronized Multimodal Urban Scene Dataset. Sensors, 23(7), 3710.
• Silva, C. T., Freire, J., Miranda, F., Lage, M., Doraiswamy, H., Hosseini, M., ... & Cesar Jr, R. M. (2019). Integrated Analytics and Visualization for Multi-modality Transportation Data.
• Tokuda, E. K., de Arruda, H. F., Domingues, G. S., Costa, L. D. F., Shibata, F. A., Cesar-Jr, R. M., & Comin, C. H. (2023). Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: Urban Analytics and City Science, 50(4), 1023-1038.
• Yu, M., Chen, X., Zhang, W., & Liu, Y. (2022). AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network. Sensors, 22(8), 2932.
• Zaitunah, A., Silitonga, A. F., & Syaufina, L. (2022). Urban greening effect on land surface temperature. Sensors, 22(11), 4168.

 

Requirements

Research Field

Computer science » Other

Education Level

PhD or equivalent

Skills/Qualifications

• PhD in Computer Science, Engineering, Physics, Math, or a related field.
• Strong background in mathematical modeling and programming.
• Research experience and publications in image processing, computer vision, machine learning, natural language processing or other AI fields.
• Excellent English communication skills (written and oral).

 

Languages

ENGLISH

Level

Excellent

Additional Information

Website for additional job details

https://sites.usp.br/synestechai/opportunities/

Work Location(s)

Number of offers available

1

Company/Institute

University of São Paulo

Country

Brazil

State/Province

SP

City

São Paulo

Postal Code

05508090

Street

Rua do Matão, 1010

Geofield

Where to apply

E-mail

[email protected]

Contact

State/Province

SP

City

Sao Paulo

Website

https://www.ime.usp.br/dcc/

Street

Rua do Matao, 1010

Postal Code

05508-090

E-Mail

[email protected]

STATUS: EXPIRED