Job Description
We are seeking a highly skilled Research Scientist to join our team and contribute to a project focused on applying Machine Learning techniques to optimize the operation of Wastewater Treatment Plants (WWTPs). The successful candidate will be part of a multidisciplinary team with expertise in Computer Science, Data Science, and Civil Engineering.
About the Project
The project aims to develop innovative solutions for WWTP operation using Machine Learning algorithms. Our goal is to improve the efficiency and sustainability of these critical infrastructure facilities. We believe that by working together, we can make a significant impact on environmental protection and public health.
Responsibilities
* Review existing research on WWTP operation and Machine Learning applications.
* Lead and contribute to regular meetings and discussions with the project team.
* Contribute to decisions on project direction and objectives.
* Develop and lead machine learning models for WWTP optimization.
* Collaborate with industry partners to ensure successful implementation of project outcomes.
Requirements
To be considered for this position, you will need:
* A PhD degree in Computer Science, Data Science, or a related field.
* Expertise in Python, statistics, and time-series data analysis.
* Excellent research writing skills and experience in publishing high-quality research papers.
* Experience in research project management and collaboration with industry partners.
Benefits
This is an excellent opportunity to work with a talented team and contribute to a groundbreaking project. You will have access to cutting-edge resources and technologies, as well as opportunities for professional development and growth.
How to Apply
If you are passionate about Machine Learning and sustainability, and possess the required skills and experience, please submit your application. We look forward to hearing from you!