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https://docs.google.com/forms/d/1yFxOQeGPs9__4H0VqLyA7CWo9ttj-Vh-owShDrGWQQk/viewform?edit_requested=true دانشگاه جورجیا، برای کارهای RF و سنسور و ماهواره و هموش مصنوعی در زمینه‌های مذکور.

https://www.ece.uh.edu/faculty/joardar-biresh-kumar دانشگاه هیوستون تگزاس دکتر Joardar Deep learning accelerators using in-memory computing systems Reliability and Security of deep learning accelerators Heterogeneous manycore systems دکترا

*Apply for a PhD in robotics!* We are looking for multiple PhD Candidates in the following domains: *1. PhD Candidate in Learning Control Policies for Evolutionary Design of Aerial Robots* Application link: https://lnkd.in/dAz6ehvc Application deadline: August 6, 2023 *2. PhD Candidate in Environment- and Task-specific Evolutionary Design of Aerial Robots* Application link: https://lnkd.in/dVkVfe7d Application deadline: September 3, 2023 *3. PhD Candidate in Semantics-aware Exploration & Inspection of Marine Vessels using Aerial Robots* Application link: https://lnkd.in/dGfcrbUE Application deadline: September 1, 2023 *4. PhD Candidate in Redefining Multi-Robot Search And Rescue Autonomy* Application link: https://lnkd.in/dcs2sXcG Application deadline: September 1, 2023

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موقعیت دکتری انگلستان We are looking for a PhD student to work on explainable Graph Neural Networks for problems in computational chemistry. This is a funded position for 3.5 years at Cardiff University's School of Computer Science & Informatics.   Deadline for applications: 15 September 2023 Full details: https://www.findaphd.com/phds/project/explainable-graph-neural-networks-for-computational-chemistry/?p159925 Keywords: Graph Neural Networks, Explainable AI, Neuro-symbolic Methods, Computational Chemistry Please get in touch with Steven Schockaert (schockaerts1@cardiff.ac.uk) for any questions about this position.

شش موقعیت دکتری و‌پستداک اتحادیه اروپا تخصص یادگیری ماشین Several open positions in Health Data Science & AI in Medicine projects Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany For details see https://www.mad.tf.fau.de/lab/job-offers/ https://www.mad.tf.fau.de/files/2023/07/2023_07_PhD_PostDoc_MaDLab.pdf Teaser The Machine Learning and Data Analytics Lab (MaD Lab, https://www.mad.tf.fau.de) at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for several open PhD and/or postdoctoral positions in the areas of health data science and AI in medicine. The associated research projects are focused on i) clinical trial data analysis with a major pharmaceutical industry partner, ii) intelligent user interface research within the EIT Health PDNetGo project, iii) computer-vision based movement tracking for therapy monitoring (DiGA) in cooperation with a startup, iv) data integration and AI-based analysis of health data within the pan-European TEF-Health project (https://www.tefhealth.eu), v) federated machine learning for personal health dataspaces within the BMWK-funded TEAM-X project (https://project-team-x.eu), and vi) medical data science research in close cooperation with several cooperation partners within the University Hospital Erlangen. Program details and contact for application/questions Positions can start September 1, 2023 or later. Funding is available through a TV-L E13 position with duration of three years for PhD candidates and two years for postdoctoral coworkers; extensions are possible. Prospective applicants should apply with a motivation letter (max. 1 page), academic CV, and optional certificates as one document. Applications will be accepted until positions are filled.

موقعیت دکتری سوئد Open Ph.D. position at KTH - Royal Institute of Technology The School of Electrical Engineering and Computer Science at KTH in Stockholm, Sweden, is looking for 1-2 Ph.D. students in the area of scalable optimization and machine learning https://kth.varbi.com/en/what:job/jobID:639665/ About the position:  You will join the research group of Prof. Mikael Johansson, working on theory and algorithm development for large-scale optimization and machine learning. Ph.D. student positions at KTH come with a full-time salary and benefits and comprises coursework, teaching activities, and individual research. This particular position is part of the research project “Turning the Air into an AI Computer" funded by the Wallenberg Foundation’s program for research projects of high scientific potential. The project will give you an excellent opportunity to work in close cooperation with Ph.D. students and faculty in the participating research groups at KTH and Linköping University, as well as with our international collaborators. What we are looking for: We are looking for candidates with strong knowledge in applied mathematics and computer science. You need to have a strong academic track record, be analytical and independent, and have a passion for research and problem-solving. How to apply: Read more about the position and apply here https://kth.varbi.com/en/what:job/jobID:639665/

موقعیت دکتری نیویورک We have 1 PhD position funded by NSF in 2024 Spring at SUNY Binghamton, New York.  The research will be on multiphysics modeling & simulation for soft functional composites in flexible electronics. The major task will be performing multiphysics/multiscale finite element simulation (ABAQUS), nonlinear constitutive modeling, micromechanics modeling, etc.  For more info about the lab, please refer to http://puzhang.weebly.com

* PDF copy of your MSc and BSc degree certificates, including transcripts of all MSc and BSc university records (grades and courses) and their English translations (Finnish and Swedish certificates are also accepted) Please note that our recruitment system allows max 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary. ADDITIONAL INFORMATION For further information, please contact Assistant Professor Joni Pajarinen, joni.pajarinen@aalto.fi. Additional information in recruitment process related questions, please contact HR Coordinator Camilla Hanganpää, camilla.hanganpaa@aalto.fi.

موقعیت دکتری فول فاند فنلاند The Robot Learning research group is seeking a talented PhD student with strong interest in Multi-agent Reinforcement Learning and Planning. The Aalto Robot Learning research group operates in the intersection of artificial intelligence and robotics. We focus on developing methods for reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. The goal of the research group is to help robots understand what they need to learn to perform their assigned tasks, and, thus, make robots capable of operating on their own and pro-actively help humans. To accomplish these goals the research group develops novel decision making methods and uses these methods to solve unsolved robotic tasks. For more information, please see https://rl.aalto.fi The main task of the PhD student will be to develop new methods for optimizing multi-agent behavior. The developed methods may be based on one of our focus areas including, but not limited to, reinforcement learning and planning under uncertainty. Example research topics include but are not limited to multi-agent curriculum learning, model-based multi-agent reinforcement learning, and multi-agent planning and control. The developed methods may be evaluated with real robots. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to some of the research topics in your Letter of Motivation. Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates will be furthermore given the opportunity to work with undergraduate and M.Sc. students. The research group collaborates internationally and nationally with research groups in construction, computer vision, robotics, mobile heavy machines, human-robot interaction, reinforcement learning, imitation learning, multi-agent systems, under-water vehicles, and robot motion planning. There will be ample opportunities for international collaboration. WE OFFER The position will be filled for 2 + 2 years (doctoral studies are expected to take 4 years in total). The starting date is in September 2023 or as mutually agreed. The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. The starting salary for a doctoral student is approximately 2600 EUR/month and increases with thesis progress. We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. The position is located at the Aalto University Otaniemi campus which can be easily reached by public transport. HOW TO APPLY Please submit your application through our online recruitment system at https://www.aalto.fi/en/open-positions/phd-student-position-in-multi-agent-reinforcement-learning-and-planning (on the web page scroll down and click the "Apply Now!" button) The closing date for applications is August 27th, 2023 (23:59 EEST (GMT+3)). Please write your application and all the accompanying documentation in English and attach them in PDF format. Please attach only the following documents to your application: * A letter of motivation describing your research interests and how the research fits to the Robot Learning research group (max. 1 page) * Curriculum vitae (including the contact details of two referees) * A list of publications as a part of the curriculum vitae

موقعیت دکتری چهارساله فول فاند سوییس The People-Centered Computing Lab in the Faculty of Informatics at the Università della Svizzera italiana (USI) in Lugano, Switzerland, is looking for a candidate for a 4-year PhD-student position in machine learning (ML). The position is funded by an SNF Ambizione project. Dr. Martin Gjoreski and Prof. Marc Langheinrich will be the co-supervisors. The project includes collaborations with leading research groups from MIT (US), Cambridge (UK), Melbourne (AU), and UNIGE (CH). As part of the project, the Ph.D. student will work on the development of novel methods for “Privacy-aware domain adaptation.”  The Ph.D. position is full-time, with a competitive salary and social security insurance. Per Swiss regulations, Ph.D. student salaries range from CHF 47'040 (gross) in the first year to CHF 50'040 (gross) in the last year. Apart from performing research, the faculty’s Ph.D. program also expects students to complete coursework and acquire teaching experience. Application deadline: 1st September 2023 (envisioned project start: 1st January 2024). Notifications will be sent by the 29th of September, 2023. For more information, please check: https://pc.inf.usi.ch/uncategorized/ph-d-position-on-privacy-aware-domain-adaptation-in-affective-and-wearable-computing-in-lugano-switzerland-application-deadline-september-1-2023/

چندین موقعیت دکتری کامپیوتر انگلستان doctoral students in the Intelligent Robotics Lab (IRLab) within the School of Computer Science at University of Birmingham (UK). This position will focus on fundamental research at the intersection of knowledge representation (KR) and robot manipulation. I am looking for candidates with: * An excellent undergraduate or Masters degree in a computing discipline, e.g., computer science, engineering, mathematics, or physics. * Demonstrated understanding of the fundamentals of robot control and KR, e.g., performance in a related undergraduate or Masters-level module. * Demonstrated proficiency in object-oriented programming. * Expertise/interest in working with physical robot platforms. * (Preferred) Prior research experience in robotics or AI. These positions cover tuition fees and provide a monthly stipend. Please contact me (m.sridharan@bham.ac.uk) with a link to a folder with your application material (e.g., research proposal, transcripts, CV) if you would like to have an informal chat. Regards, --Mohan https://www.cs.bham.ac.uk/~sridharm @safarname7