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-# Open Positions
+# Job Opportunities in Computer Vision, Remote Sensing, and Robotics
 
-We always actively seek talented and self-motivated students. We have several opening projects for PhD students (**fully funded research assistant**):
+We are excited to announce open positions for passionate students in the following cutting-edge areas:
 
-**1. Geospatial and remote sensing** <br/> Focus on developing innovative deep learning-based computer vision algorithms for geospatial and remote sensing data analysis including satellite imagery (Sentinel-2, Planet) and UAV data, with the aim of addressing critical environmental and agricultural challenges.
+## 1. Computer Vision: Multi-Object Tracking (2 Positions)
+**Focus**: Multi-camera, multi-object tracking with an emphasis on dense and similar object tracking.
 
-**2. Biomedical and healthcare** <br/>
-Engage in interdisciplinary research applying machine learning and computer vision methodologies to analyze medical imaging and healthcare systems.
+**Responsibilities**:
+- Develop state-of-the-art multi-camera systems accurate and efficient tracking of dense objects with similar appearances.
+- Collaborate with interdisciplinary teams in agriculture and poultry science to deploy solutions in real-world applications.
 
-**3. Machine learning, Data science** <br/> Develop machine learning, particularly with meta regression models to analyze structured data (tabular data), improving predictive modeling, inference, and data-driven decision-making.
+## 2. Remote Sensing: Precision Agriculture (2 Positions)
+**Focus**: Drone and satellite image analysis for agricultural applications.
 
-# Application
+**Responsibilities**:
+- Collect, analyze, and interpret drone and satellite imagery to improve agricultural practices.
+- Develop models and tools for precision agriculture, including crop health monitoring and yield prediction.
+- Work with data scientists and agricultural experts to refine solutions for practical implementation.
 
-To apply for this position, please submit the following application materials to Dr. Ngan Le (thile@uark.edu).
+## 3. Robotics: Robotic Arm Manipulation (2 Positions)
+**Focus**: Robotic arm manipulation using exocentric and egocentric views.
 
-- CV/Resume, highlighting your academic and research experience.
-- A list of your publications (if applicable).
+**Responsibilities**:
+- Design and implement algorithms for robotic arm control and manipulation with visual inputs.
+- Optimize both hardware and software for seamless task execution.
+- Collaborate with interdisciplinary teams in mechanical engineering, industrial engineering, and computer science to enhance automation processes in supply chain and retail systems.
+
+---
+
+## Qualifications
+- A strong background in computer vision, remote sensing, or robotics, with demonstrated experience in relevant projects or research. Having publications in related and relevant venues is a significant advantage.
+- Proficiency in programming languages such as Python, C++, etc.
+- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and analysis/visualization tools (e.g., Pandas, OpenCV, Open3D, etc.).
+- A bachelor’s degree in Computer Science, Robotics, or a related field; advanced degrees (MSc or PhD) are preferred but not required.
+- Strong problem-solving skills, self-motivation, a collaborative mindset, and a passion for research and innovation.
+
+---
+
+## How to Apply
+Please submit the following documents to **[email address]**:
+1. A detailed resume/CV.
+2. Transcript(s) for your bachelor’s degree (and master’s, if applicable).
+3. A cover letter specifying the position(s) of interest.
+4. English proficiency certificates (e.g., IELTS, TOEFL, GRE, if applicable).
+
+Applications will be reviewed on a rolling basis. Early submissions are encouraged.
+
+---
+
+We look forward to your application and the opportunity to work with talented individuals eager to contribute to cutting-edge research in Computer Vision, Remote Sensing, and Robotics.