BME DOC📚

🔥این روزها چت‌بات‌های مبتنی بر هوش مصنوعی به یکی از جذاب‌ترین فناوری‌ها تبدیل شده‌اند و کاربران زیادی را جذب کرده‌اند. شرکت‌ها هم که از این موضوع اطلاع دارند، با سرمایه‌گذاری‌های ریز و درشت محصولات خودشان را توسعه داده‌اند با این امید که بتوانند در مرکز توجه قرار بگیرند. 🔹این استراتژی و البته عطش کاربران باعث‌شده با چت‌بات‌های زیادی در دنیای فناوری روبه‌رو شویم، اما همه آن‌ها عملکرد مناسبی ندارند. به‌همین دلیل تصمیم گرفته‌ایم در این پست 10 مورد از برترین چت‌بات‌ها را به شما معرفی کنیم.

با سلام و احترام؛ 🔴 پیروی استقبال شما دوستان عزیزان، کلاس جدیدی برای جمع‌بندی درس ریاضی‌۲ با جناب آقای ابطحی در روز چهارشنبه ۶ اردیبهشت ساعت ۱۳ الی ۱۷ اضافه شد. 💳 هزینه ثبت‌نام هر دوره: دانشجویان سایر دانشگاه‌ها: ۶۰ هزار تومان دانشجویان دانشگاه صنعتی امیرکبیر: ۵۰ هزار تومان دانشجویان دانشکده ریاضی و علوم‌کامپیوتر: ۴۰ هزار تومان ✅ جهت ثبت‌نام به آی‌دی تلگرامی @sadeq_47_74 پیام دهید.

📌 دوره‌‌های جمع‌بندی میان‌ترم دروس سرویس دانشکده ریاضی و علوم‌کامپیوتر 1️⃣ مرور و جمع‌بندی ریاضی عمومی ۱ و ۲ 👤 مدرس: جناب آقای ابطحی، فوق‌لیسانس ریاضی از دانشگاه صنعتی امیرکبیر 2️⃣ مرور و جمع‌بندی معادلات دیفرانسیل 👤 مدرس: دکتر طباطبائی‌فر، استاد معادلات دیفرانسیل دانشکده ریاضی دانشگاه صنعتی امیرکبیر 🟡 محل برگزاری تمامی کلاس‌ها به صورت حضوری در دانشکده ریاضی و علوم کامپیوتر خواهد بود. 🔴 مهلت ثبت‌نام تا تکمیل ظرفیت کلاس‌ها خواهد بود و از طریق کانال انجمن علمی دانشکده، اطلاع رسانی خواهد شد. 💳 هزینه ثبت‌نام هر دوره: دانشجویان سایر دانشگاه‌ها: ۶۰ هزار تومان دانشجویان دانشگاه صنعتی امیرکبیر: ۵۰ هزار تومان دانشجویان دانشکده ریاضی و علوم‌کامپیوتر: ۴۰ هزار تومان ✅ جهت ثبت‌نام به آی‌دی تلگرامی @sadeq_47_74 پیام دهید.

دو موقعیت دکتری یادگیری عمیق اروپا two PhD candidates who have a strong passion for various aspects of deep learning, including self-supervised learning, interpretability, cooperative deep learning, continual learning, multimodal learning, small-footprint models, graph neural networks, deep generative models, and out-of-distribution generalization. The candidates will be supervised by Prof. Mirco Ravanelli (Concordia University) and Prof. Cem Subakan (Université Laval). We encourage you to apply as soon as possible. Please check out the link below for more information and to submit your application: https://drive.google.com/file/d/1iTcSplru8GZzntmwgJApDmMCHb2UZUc-/view

🇦🇺 PhD position, Monash University, Australia ☑️ Mathematics, Cyber security, cryptography, Blockchain 👨‍🏫 Dr. Muhammed Esgin: We got several fully-funded PhD positions #CyberSecurity group in post-#quantum cryptography, zero-knowledge proofs and/or #blockchain. Please share with anyone who may be interested! To apply, please see https://mfesgin.github.io/supervision/

To all companies in my network: Università di Trento has several opportunities for co-funding 3-year PhD scholarships in collaboration with industry. Please send me a message in case you are interested, especially on topics related to machine learning and optimization applied to industrial problems. UniTrento DISI UniTrento - IECS Doctoral School Doctorate Program in Industrial Innovation. ♦️ در لینکدین باید پیام فرستاده شود: https://www.linkedin.com/in/giovanniiacca/

موقعیت فول فاند پنجساله دکتری اروپا fully funded 5-year PhD-TA position (75% research, 25% teaching) in the Data Mining group, at the department of Mathematics and Computer Science, TU Eindhoven, the Netherlands, on the topic of Efficient Algorithms for Exceptional Model Mining on Time-Varying Data. If you know an excellent candidate, please send them the vacancy link: https://jobs.tue.nl/en/vacancy/phdta-exceptional-model-mining-on-timevarying-data-993500.html If you are an excellent candidate, please apply. To read more about the research project, please consult the following document: https://wwwis.win.tue.nl/~wouter/20230329-out-M4M.pdf

موقعیت دکتری سه ساله فرانسه 3-year PhD fellowship in Computer Science at Aix-Marseille University (France). This is an interdisciplinary project that proposes to apply multimodal and deep learning approaches for the study of human interaction and its brain basis. For more information, please see: https://www.lis-lab.fr/wp-content/uploads/2023/04/PhD_thesis_convergence-1.pdf Application deadline: May 15th, 2023

موقعیت دکتری کامپیوتر اروپا fully-funded PhD position in the Data and Artificial Intelligence Cluster (https://dai.win.tue.nl) of the Faculty of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) with a focus on knowledge graph management. It is a full-time formal job and salaries are competitive. TU/e is an English-language university. If you or someone you know is interested in research into knowledge graph system engineering, in a vibrant, dynamic, collaborative, and very international team, please check out the following link: https://jobs.tue.nl/en/vacancy/phd-in-knowledge-graph-creation-management-and-analytics-990155.html

موقعیت با فاند دکتری کامپیوتر دوبلین سالی ۱۹۰۰۰ یورو Location: Trinity College Dublin School: School of Computer Science and Statistics Funding for: EU and non-EU students Funding amount: €19,000/year Closing date: Wednesday 26th April PhD starting time: 1/Sep/2023 Project details: Wearable sensors provide a continuous and unobtrusive way to monitor an individual’s health and well-being in their daily lives. However, interpreting and analyzing wearable sensor data is challenging. One important technique for analyzing such data is cluster analysis. Cluster analysis is a type of unsupervised machine learning that involves grouping data points into clusters based on their similarities. In the context of wearable sensor data, this can involve grouping together measurements of physiological parameters such as heart rate, respiratory rate, and activity level, as well as environmental data such as temperature and humidity. This project involves working on the cutting-edge of cluster analysis methods for sensor data. Different from traditional machine learning methods (for multivariate data), we will develop functional data clustering methods, motivated by the fact that sensor data can be naturally modelled by curves that denote continuous functions of time. You will be supervised by Dr Mimi Zhang (primary supervisor) and Dr. Shirley Coyle (co-supervisor). More information can be found here (Code: 2023TCD07): https://d-real.ie/d-real-2023-phd-topics/#2023TCD06 Salary: Each student who is admitted to this programme will receive a full scholarship to undertake a four-year structured PhD programme. This scholarship comprises full payment of university fees for four years and a tax-free stipend of €19,000 per annum for four years. In addition, a generous budget for conference travel, equipment, training, placement maintenance and publication costs is provided. Candidate description: A Bachelor’s degree in statistics, math, computer science, or closely related subjects is required. The candidate is expected to have a sound theoretical and practical knowledge on statistics, as well as strengths in programming. How to apply: Our D-REAL center will collect all the applications.  For more information on how to apply, please visit here: https://d-real.ie/apply-to-d-real/

هشتاد و نه موقعیت دکتری و پستداک دانشگاه KTH سوئد زمینه کاری مهندسی مواد 89 Fully Funded (46 PhD students and 43 Postdocs) are available at KTH Royal Institute of Technology, Stockholm, Sweden https://www.kth.se/en to a wide assortment of materials science projects with focus on sustainability.

دو‌موقعیت دکتری فول فاند رشته برق استرالیا PhD scholarships at the Australian National University Two PhD scholarships are to be created for students commencing in 2023. The PhD students will work with Prof. Nan Yang on research problems related to terahertz multiscale communications. Each scholarship would consist of a full tuition fee waiver plus a stipend of approximately AUD $28,000-$34,000 per year. Candidate: Applicants should have a master or (four-year with Honours) bachelor degree, either completed or close to completion, with an excellent academic record, and have research experiences ideally demonstrated by high-quality publications. They should also have an interest in working on research problems related to terahertz multiscale communications. Both master students/graduates and top-performing bachelor students/graduates can apply. Commencement date: Flexible commencement date, while expected to start in 2023. Duration of PhD study: A typical duration is about 3 years to 3.5 years. Other funding: Additional funding will be provided by both the project funding from Prof. Yang and the university to support student’s travel (e.g., conference trip and international university visit) and other professional development activities. Teaching assistant opportunity: There will be opportunity for teaching assistantship with additional salary paid. Contact: Please send an email to Prof. Yang (nan.yang@anu.edu.au) to express your interest and provide your CV and up-to-date academic transcripts for consideration.

چندین موقعیت دکتری و پسداک اروپا University of Amsterdam invites applications for postdoctoral and Ph.D. positions on the intersection of ML, NLP, and Computer Vision.  The research is funded by NWO (Dutch Science Foundation) grant of Ivan Titov (http://ivan-titov.org/). The postdocs and PhD students will be employed by the University of Amsterdam and will be members of the Institute for Logic, Language, and Computation and the Faculty of Science. The collaboration is envisaged with researchers at the University of Amsterdam (e.g., Efstratios Gavves, and Wilker Aziz), as well as at the University of Edinburgh (e.g., Edoardo Ponti, Hakan Bilen, Sidharth N., and Kenny Smith). The research will focus primarily on two directions (or their intersections):   1) learning from language in grounded settings: exploiting knowledge embedded in language and language models to help solve decision-making applications and produce generalizable and interpretable models for these tasks   2) emergent communication and collaboration: developing agents which learn to communicate with humans, explain their predictions and decision strategies, and also improve with human feedback. Application deadline: May 1, 2023, 17:00 (Netherlands) For informal enquiries please contact:  Ivan Titov (titov@uva.nl)  Please find more details by following the links: Ph.D. positions: https://vacatures.uva.nl/UvA/job/PhD-in-Machine-Learning-with-NLP-and-Computer-Vision/768463402/ Postdoc positions: https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-Machine-Learning-with-NLP-and-Computer-Vision/768462602/

موقعیت دکتری کامپیوتر آلمان Machine Learning and Simulation Lab (IPVS, Department of Computer Science, University of Stuttgart), led by Mathias Niepert, invites applications for a full-time research position as a Ph.D. student (100% TV-L E 13). We are working on machine learning research with a focus on geometric deep learning, the synthesis of discrete (algorithmic) components and continuous learning systems, and the intersection of machine learning and the simulation sciences. If you are interested in our work (published regularly at ICML, NeurIPS, AAAI, EMNLP, IJCAI, and ICLR) please take a look at our website: http://matlog.net/publications.html The Ph.D. project will be concerned with developing state-of-the-art machine learning methods for understanding and modeling physical systems governed by differential equations. Examples of such physical are flows of liquids and many-body particle systems. Machine learning promises to accelerate science and engineering by making simulations of physical systems more efficient. The research project will also be concerned with the design and development of machine learning approaches that incorporate and respect physical constraints such as symmetries and conservation laws. The aim is to use machine learning not simply as a black box but as a tool for discovering interpretable, mechanistic models of complex physical systems. What We Will Offer Using machine learning for problems in the sciences and engineering is a growing and ever more important area. For instance, several IT research labs are exclusively dedicated to addressing this research theme. Hence, a Ph.D. in this area will provide excellent future career opportunities both in academic and industrial research labs. We are a growing, international team working at the intersection of machine learning, the sciences, and engineering with real-world impact. We have a track record of publishing at top-tier conferences such as ICML, ICLR, and NeurIPS. We will provide you with a friendly but challenging interdisciplinary research environment and support your academic career toward accomplishing your Ph.D. You will have the opportunity to work with other researchers to develop innovative and useful machine learning methods. We work closely with domain experts from academia and industry and care deeply about the real-world impact of the methods we develop. What we are looking for Applicants for the position are required to have an M.Sc. in Computer Science, Physics, Engineering, or a related discipline. Due to the nature of the research project, we are specifically looking for applicants with knowledge of physics and engineering. Basic knowledge in the areas of artificial intelligence and machine learning is required. Experience with the programming language Python and deep learning frameworks such as PyTorch is advantageous. Excellent communication skills and the ability to work in an international team are indispensable for the position. Knowledge of German is a plus but not required. Location: Universitätsstraße 32, 70569 Stuttgart, Germany. Please submit your application in one PDF file including a letter of motivation, a curriculum vitae, and scans of all of your original transcripts and diploma certificates from each university degree (or stamped, official translations) by 15.4.2023, by email with the subject “ML4S – IPVS-MLS – (Your Name)” to ac_info@ipvs.uni-stuttgart.de. We will continue to screen applications until the position is filled.

سیزده موقعیت دکتری و‌ پستداک تخصص 6G اروپا https://recruitment.uni.lu/en/index.html?LOV1=All&LOV2=6916&LOV3=All&LOV7=All&keywords=SIGCOM&Resultsperpage=50&srcsubmit=Search&statlog=1&ID=QMUFK026203F3VBQB7V7VV4S8&mask=karriereseiten&LG=UK

موقعیت دکتری کامپیوتر اروپا highly motivated and skilled PhD candidate to work in the area of Reinforcement Learning (broadly speaking) in the Uncertainty in AI group of TU Eindhoven, The Netherlands. It is a full-time formal job and salaries are competitive. TU Eindhoven is an English-language university. For more information regarding the position and how to apply, please follow this link: https://jobs.tue.nl/en/vacancy/phd-position-in-reinforcement-learning-990306.html