BME DOC📚
کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی @BMEDOC_ADMIN Support Our Mission 🤝🏻 Donate: www.coffeete.ir/BMEDOC
Show more📈 Analytical overview of Telegram channel BME DOC📚
Channel BME DOC📚 (@bme_doc) in the Farsi language segment is an active participant. Currently, the community unites 10 132 subscribers, ranking 19 739 in the Education category and 30 982 in the Iran region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 132 subscribers.
According to the latest data from 14 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -14 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 21.64%. Within the first 24 hours after publication, content typically collects 15.87% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 193 views. Within the first day, a publication typically gains 1 608 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
- Thematic interests: Content is focused on key topics such as مهندسی, امیرکبیر, دانشکده, تحصیل, ریاضی.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“کانالی برای جزوه...کلاس درسی...کتاب و هر چیز اموزشی مربوط به مهندسی
@BMEDOC_ADMIN
Support Our Mission 🤝🏻 Donate:
www.coffeete.ir/BMEDOC”
Thanks to the high frequency of updates (latest data received on 15 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
I am looking for a new Ph.D. student in robotics for my lab in Bonn. If you are interested, please apply by January 18, 2025. The Photogrammetry & Robotics Lab (Stachniss-Lab) at the University of Bonn, Germany, headed by Prof. Dr. Cyrill Stachniss, is looking for a motivated and highly capable Ph.D. student (f/m/d) and explicitly encourages women to apply. TYPE OF POSITION: Fully funded position (E13), 100% employment APPLICATION DEADLINE: January 18, 2025 TARGETED START DATE: Marco or April 2025 LOCATION: Bonn, Germany OUR EXPECTATIONS: We are looking for highly motivated and highly capable team players who want to earn a Ph.D. degree in engineering and work with mobile robots. The Ph.D. student's main goals should be to develop novel robotic solutions, push the state of the art in robotics and perception forward, and disseminate their findings. This involves the following: First, developing new solutions to relevant problems, involving theoretical contributions as well as coding. Second, evaluating the proposed systems using real sensor data, running them on a real robot, and the ability to demonstrate the approach live. Third, disseminating the results in the form of papers at high-quality conferences/journals and by publishing code. The candidates should identify themselves with our research lab and their project, be interested in working with real robots and sensors, support the other team members, and engage in and establish joint activities. Finally, the Ph.D. students should support our teaching activities and guide other students. REQUIREMENTS: * Master's degree in computer science, robotics, geodesy, electrical engineering, or similar (a B.Sc. degree alone is not sufficient). * A background (e.g., MSc thesis, specialization, or in-depth courses) in robotics, machine learning, or computer vision/photogrammetry. * Strong coding capabilities. Relevant languages are C++ and Python. * Very good English language skills. Knowledge of the German language is not required. HOW TO APPLY: * Send your application as a single PDF file (only this information will be considered), smaller than 8 MB by email to Cyrill Stachniss (cyrill.stachniss@igg.uni-bonn.de) before the deadline indicated above. * Your single PDF file should contain: ** (a) Your CV (approx. 2-6 pages) ** (b) List of courses you have attended that are related to topics of the lab ** (c) Motivation letter (max 1 page) ** (d) Transcript of records ** (e) Link to the PDF file of your MSc thesis and/or papers you may have written ** (f) Links to your personal website, your Github page, and Google Scholar profile ** (g) Name, email, and phone number of two referees (professors or senior researchers you have worked with) to whom we can reach out
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