Career

Vacancy Announcement

A Research Project titled, “Deep Learning Based Optimization of Energy Management System for Microgrid with Renewable Energy Sources: A Case Study for Saint Martin’s Island” funded by the East West University Center for Research and Training (CRTEWU), is seeking applications for the following position.

Research Associate/Assistant:

Details of the position are given below:

Duties and responsibilities (Research Associate):

The primary role would be a Research Associate. Key responsibilities would include:

1. Conduct in-depth literature reviews on deep learning-based energy management and renewable energy forecasting.
2. Develop and implement machine learning and deep learning models for energy forecasting.
3. Assist in acquiring, preprocessing, and analyzing energy datasets from various sources (BMD, PGCB, BPDB, etc.).
4. Manage cloud computing resources (Google Cloud, AWS, Google Colab Pro+) for model training and validation.
5. Prepare progress reports, presentations, and research papers for submission to international journals.
6. Supervise the Research Assistant (RA2) in data collection, model testing, and documentation.
7. Coordinate with stakeholders, such as SREDA, IDCOL, and BPDB, for data acquisition and project insights.

Qualification:

1. M.Sc. and B.Sc. in Electrical and Electronic Engineering (EEE)/Computer Science and Engineering (CSE), or a closely related field.
2. A strong academic background with a thesis or final year project in renewable energy, power systems, machine learning, or a similar area is highly preferred.
3. Proficiency in programming languages, especially Python or MATLAB.

Experience:

1. Prior hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
2. Familiarity with renewable energy systems, microgrids, and energy management systems (EMS) is a significant advantage.
3. Previous research experience and a track record of publications in relevant journals or conferences would be a strong plus.

Job Type & Duration:

1. This is a full-time contractual position.
2. Duration: 8 months
   
   

Salary: 20000/- BDT

Duties and responsibilities (Research Assistant):

The primary role would be a Research Assistant.  Key responsibilities would include:

1. Support data collection efforts from publicly available sources and assist in dataset cleaning.
2. Implement basic data preprocessing techniques using MATLAB, Python, and Excel.
3. Conduct exploratory data analysis and visualization to identify patterns and trends.
4. Assist in running simulations, executing model training, and validating results.
5. Maintain project documentation and organize research findings in Notion and GitHub.
6. Support the preparation of reports, presentations, and research publications.
7. Assist in travel-related activities for data collection and stakeholder meetings.

Qualification:

1. B.Sc. in Electrical and Electronic Engineering (EEE)/Computer Science and Engineering (CSE), or a closely related field.
2. A strong academic background with a thesis or final year project in renewable energy, power systems, machine learning, or a similar area is highly preferred.
3. Proficiency in programming languages, especially Python or MATLAB.

Experience:

1. Prior hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
2. Familiarity with renewable energy systems, microgrids, and energy management systems (EMS) is a significant advantage.
3. Previous research experience and a track record of publications in relevant journals or conferences would be a strong plus.

Job Type & Duration:

1. This is a full-time contractual position.
2. Duration: 8 months

Salary: BDT 15,000/= (consolidated per month)

Application deadline: 20^th September 2025

Application Procedure:

Interested candidates should submit an application to Dr. Ratil Hasnat, Principal Researcher at ratil.hasnat@ewubd.edu with a current CV by 20 September 2025. Applicants must mention the name of “Position” in the subject line of email.

[ NB: Only shortlisted applicants will be contacted for the next round of selection. ]