update ruby

.github/workflows/jekyll.yml

@@ -34,7 +34,7 @@ jobs:
       - name: Checkout
         uses: actions/checkout@v4
       - name: Setup Ruby
-        uses: ruby/setup-ruby@8575951200e472d5f2d95c625da0c7bec8217c42 # v1.161.0
+        uses: ruby/setup-ruby@086ffb1a2090c870a3f881cc91ea83aa4243d408 # v1.195.0
         with:
           ruby-version: '3.1' # Not needed with a .ruby-version file
           bundler-cache: true # runs 'bundle install' and caches installed gems automatically

_pages/recruitment.md

@@ -7,3 +7,50 @@ permalink: /recruitment/
 ---
 
 We are excited to announce open positions for passionate students in the following cutting-edge areas:
+
+## 1. Computer Vision: Multi-Object Tracking (2 Positions)
+**Focus**: Multi-camera, multi-object tracking with an emphasis on dense and similar object tracking.
+
+**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.
+
+## 2. Remote Sensing: Precision Agriculture (2 Positions)
+**Focus**: Drone and satellite image analysis for agricultural applications.
+
+**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.
+
+## 3. Robotics: Robotic Arm Manipulation (2 Positions)
+**Focus**: Robotic arm manipulation using exocentric and egocentric views.
+
+**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.