Apply Time – Telegram
Apply Time
5.84K subscribers
1.45K photos
167 videos
91 files
3.16K links
🔹در مسیر اپلای از آغاز تا پرواز در کنار شما هستیم

🔸ارتباط با ما:
@Dr_Apply

کانال پوزیشن‌ها:
@ApplyTime_Positions

پرداخت ارزی:
@Pay_Time
Download Telegram
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
✔️ @ApplyTime
A full Ph.D. scholarship at UNSW Sydney is available for a student to work on topics such as social and cognitive robotics. Particular areas of interest include reinforcement learning, interactive machine learning, explainability, and multi-agent systems.

UNSW is a research university placed in Sydney, one of the most liveable cities in the world. The School of Computer Science and Engineering this year celebrates 30 years of world-class education, industry-leading research, and global impact.


*** Requirements:
The minimum requirements to apply are:
- A Bachelor's degree with upper second class Honours; or
- A Master's degree with a substantial research component; or
- An equivalent qualification from a tertiary institution as determined by the Faculty Higher Degree Committee (HDC)

Additionally, it is desirable the applicant has relevant background and research experience.


*** What we offer:
The candidate will be supervised by Dr. Francisco Cruz. We offer a full scholarship for 3.5 years including AUD $28,854 per annum (2022 rate), tuition fees, and overseas student health cover (OSHC).


*** Application:
If you are interested and have related background please send the following documents to f.cruz (AT) unsw.edu.au by August 31st:

- Your CV
- Academic trannoscripts
- 2 paragraphs describing your research interests and background
- Most relevant publication, if any, or Master thesis (or equivalent)


Should you have questions or would like to discuss further details, please get in touch.

Dr. Francisco Cruz
School of Computer Science and Engineering
Faculty of Engineering
UNSW Sydney
The Media Integration and Communication Center at the University of Florence, Italy, has a fully-funded PhD position available in the National PhD Program in Artificial Intelligence. The topic of the PhD Fellowship is “Deep Reinforcement Learning for Embodied AI in Complex 3D Navigation Environments". In this three-year PhD research project we will look at fundamental issues related to embodied AI systems in open-world navigation scenarios. Techniques that will be applied include, but are not limited to, Inverse and Offline Reinforcement Learning, Online and Offline Continual Learning, Few-shot Imitation Learning, and Open Set Visual Recognition. Applications to be considered are diverse and include open-world navigation, natural language goal specification, visual anomaly and novelty detection, video game AI, and automated video game playtesting and validation.

The successful candidate will join in national and international collaborations with academic and industrial partners. Excellent communication skills in English are mandatory.

The application deadline is August 8, 2022. Interested candidates should contact andrew.bagdanov@unifi.it for more information.
👍1
✔️ @ApplyTime