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A Ph.D. student in bioengineering and robotics, University of Applied Sciences and Arts of Southern Switzerland - SUPSI, Switzerland Research Assistant - Informatics (Prof. Haller), Free University of Bozen - Bolzano, Italy PhD student: deep learning for cancer genomics, KU Leuven, Belgium PhD Position in Political Economy, KU Leuven, Belgium 2 Postdoctoral Positions in (A) Digital Marketing and (B) Technology-based Services, IÉSEG School of Management, France ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

PhD in International and Public Law, Ethics and Economics for Sustainable Development (LEES) Università degli Studi di Milano The PhD Programme in Law, Ethics & Economics for Sustainability (LEES) is an interdisciplinary Program of the University of Milan, characterised by a large network of international cooperation worldwide (see the list and the international scientific committee). The LEES aims at the creation of a global interdisciplinary research community that shares a commitment to the goals of sustainability. Such a community will be devoted to promoting an interdisciplinary, integrated research approach to global concerns, able to foster a process of change in which the exploitation of resources, the direction of investments, the orientation of technological innovation, the model of economic development and organization, and the resulting institutional change, are all made consistent with the future, as well as the present needs of humankind, granting self-determination, equal treatment and social justice to each of its members, in harmony with the preservation of the ecosystem. VACANCIES 3 Doctoral Research Positions in Law, Ethics and Economics for Sustainable Development (LEES) The LEES program is seeking three outstanding and committed students to carry out a three-year multidisciplinary research project, based at more than one participating university (see the call for application and the course website). We are launching LEES, a doctoral programme in International and Public Law, Ethics and Economics for Sustainable Development. With courses, seminars, and scientific research activities entirely in English, it addresses the complexities involved in sustainable development and uses an innovative multidisciplinary approach that combines the contributions of law, ethics, and economics. -- Staff - Doctoral Programme International and Public Law, Ethics and Economics for Sustainable Development - LEES Website - lees@unimi.it University of Milan Via Festa del Perdono n° 7 - 20122 Milano, Italy MailScanner Signature Unimi La Statale per il futuro Salute, transizione digitale, sostenibilità Il tuo 5xmille ai nuovi progetti di ricerca dell’Università degli Studi di Milano Codice fiscale: 80012650158 ✔️ @ApplyTime

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PhD position on Fair and Inclusive Self-Supervised Learning for Speech Technologies (Paris/Grenoble) The ANR project E-SSL (Efficient Self-Supervised Learning for Inclusive and Innovative Speech Technologies) will start on November 1st. Self-supervised learning (SSL) has recently emerged as one of the most promising artificial intelligence (AI) methods as it becomes now feasible to take advantage of the colossal amounts of existing unlabeled data to significantly improve the results of various systems. Speech technologies are widely used in our daily life and are expanding the scope of our action, with decision-making systems, including in critical areas such as health or legal aspects. In these societal applications, the question of the use of these tools raises the issue of the possible discrimination of people according to criteria for which society requires equal treatment, such as gender, origin, religion or disability... Recently, the machine learning community has been confronted with the need to work on the possible biases of algorithms, and many works have shown that the search for the best performance is not the only goal to pursue [1]. For instance, recent evaluations of ASR systems have shown that performances can vary according to the gender but these variations depend both on data used for learning and on models [2]. Therefore such systems are increasingly scrutinized for being biased while trustworthy speech technologies definitely represents a crucial expectation. Both the question of bias and the concept of fairness have now become important aspects of AI, and we now have to find the right threshold between accuracy and the measure of fairness. Unfortunately, these notions of fairness and bias are challenging to define and theirmeanings can greatly differ [3]. The goals of this PhD position are threefold: - First make a survey on the many definitions of robustness, fairness and bias with the aim of coming up with definitions and metrics fit for speech SSL models - Then gather speech datasets with high amount of well-described metadata - Setup an evaluation protocol for SSL models and analyzing the results. The PhD position will be co-supervised by Alexandre Allauzen (Dauphine Université PSL, Paris) and Solange Rossato and François Portet (Université Grenoble Alpes). Joint meetings are planned on a regular basis and the student is expected to spend time in both places. Moreover, two other PhD positions are open in this project. The students, along with the partners will closely collaborate. For instance, specific SSL models along with evaluation criteria will be developed by the other PhD students. Skills - Master 2 in Natural Language Processing, Speech Processing, computer science or data science. - Good mastering of Python programming and deep learning framework. - Previous experience in Self-Supervised Learning, acoustic modeling or ASR would be a plus - Very good communication skills in English - Good command of French would be a plus but is not mandatory To apply, send a CV and a cover letter to A. Allauzen before September the 12th [1] Mengesha, Z., Heldreth, C., Lahav, M., Sublewski, J. & Tuennerman, E. “I don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans. Frontiers in Artificial Intelligence 4. issn: 2624-8212. https://www.frontiersin.org/article/10.3389/frai.2021.725911(2021). [2] Garnerin, M., Rossato, S. & Besacier, L. Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech in Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing (2021), 86–92.[3] Mehrabi, N., Morstatter, F., Saxena, N., Lerman, K. & Galstyan, A. A Survey on Bias and Fairness in Machine Learning. ACMComput. Surv. 54. issn: 0360-0300. https://doi.org/10.1145/3457607 (July 2021). -- Alexandre Allauzen ✔️ @ApplyTime

A fully-funded Industrial PhD position is available at the Department of Information Engineering and Computer Science of the University of Trento (DISI) and the Advanced Laboratory on Embedded Systems SRL (ALES), both in Trento, Italy, to conduct cutting edge research and innovation activity on the following topic: Validation and Verification of Machine Learning Models The candidate will investigate the applicability of advanced hybrid probabilistic inference techniques to the problem of probabilistic formal verification of ML models. S/he will study how Weighted Model Integration strategies can be improved to deal with the task, particularly in terms of scalability and approximations with guarantees, and develop a prototypical probabilistic formal verification tool for a use case in industrial avionics. To apply to the call it is mandatory to have achieved a master degree by the end of October 2022, and to possess demonstrated English skills (e.g., via a master degree in English or via certificates such as TOEFL). The position starts on November 1st, 2022 (or shortly after upon request). Required skills: - M.Sc. degree in computer science, mathematics, physics or related fields - Basic knowledge of machine learning and artificial intelligence - Excellent English skills (read, written, and spoken) - Strong self-motivation and independence Preferred skills: - Expertise in automated reasoning and formal verification Scientific supervisors: Andrea Passerini, Marco Roveri, Roberto Sebastiani Industrial supervisors: Orlando Ferrante, Luigi Di Guglielmo Main place of work: DISI and ALES. DISI: The Department of Information Engineering and Computer Science ranked first among computer science departments in Italy and 78th worldwide according to the latest U.S. News Best Global Universities ranking. DISI has a strong focus on AI research, with top researchers and labs in computer vision, machine learning, natural language processing, speech recognition, intelligent optimization, knowledge representation and automated reasoning. ALES: The Advanced Laboratory on Embedded Systems (ALES) SRL is a company of Collins Aerospace (https://www.collinsaerospace.com/), specialized in model-based technologies and methodologies for the design and verification of distributed safety-critical embedded systems. Period abroad: A 6 month research period at the University of Aalborg is planned, to conduct research activity on theoretical aspects of probabilistic formal verification of machine learning models and potential applications in the automotive industry, under the supervision of Prof. Manfred Jaeger and Prof. Kim Larsen. Doctoral program in Industrial Innovation: The Doctorate Program in Industrial Innovation is an interdisciplinary program co-founded by the University of Trento and the Fondazione Bruno Kessler. Companies are the key players of the Program that propose specific research problems (e.g. research topics) to solve and participate in the design of individual educational paths. Further information can be found at the program website. Funding: The position is co-funded by the Italian National Recovery and Resilience Plan (NRRP) and ALES SRL. Further information on the NRRP industrial doctoral positions can be found here. Application deadline: August 23, 2022 – 04:00 PM (Italian time, GMT +2). HOW TO APPLY: Please apply here. [choose "Doctoral Programme in Industrial Innovation 38th cycle" and look for a project titled "Validation and Verification of Machine Learning Models"] Feel free to contact the scientific and/or industrial supervisors for further information. Best Regards Andrea Passerini ---------------------------------------------------------------------------------- Andrea Passerini Department of Information Engineering and Computer Science University of Trento Via Sommarive 5 38123, Povo di Trento - Italy http://www.disi.unitn.it/~passerini Phone: +39 0461 28 5224 email: andrea.passerini@unitn.it ✔️ @ApplyTime

The research group Data Mining and Machine Learning at the University of Vienna, in a continued collaboration with the Volkswagen Natural Language Processing Expert Center in Munich, is looking for graduates or advanced MSc students in Computer Science, Computational Linguistics, Statistics, or related fields, that are interested in doing a PhD in Machine Learning and Natural Language Processing. The PhD candidate would be expected to be located in Munich for the duration of the doctoral project. Please contact Prof. Benjamin Roth, Univ. of Vienna, (benjamin.roth@univie.ac.at, use subject "ml nlp phd", please include a short CV) to learn more about this opportunity. -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth@univie.ac.at ✔️ @ApplyTime

Doctoral and Postdoctoral Positions, RWTH Aachen University, Germany Research Associate/Fellow in Microwave Processing (Fixed term), University of Nottingham, UnitedKingdom Research Associate/Fellow (fixed term), University of Nottingham, UnitedKingdom Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom Research Associate/Fellow/Senior Research Fellow (Fixed term), University of Nottingham, UnitedKingdom PhD student: Laser-induced damage, Advanced Research Center for Nanolithography ARCNL, Netherlands Doctoral Student, University of Basel, Switzerland Junior researcher ‘Online first aid for grief in Ukrainian refugees’, University of Twente, Netherlands PhD position: Coastal Vulnerability (CVI) assessment for present and future, University of Twente, Netherlands ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

Post-doc position (m/f/div) in magnonics (physics), Martin-Luther-Universität Halle-Wittenberg, Germany Postdoctoral Fellow - Computational Approaches focused on the Lung Microbiome, Wellcome Sanger Institute, UnitedKingdom University Assistant (Doctoral Candidate) in the COSINUS dark matter experiment, TU Wien, Austria PostDoc position in the COSINUS dark matter experiment, TU Wien, Austria University Assistant (Prae-Doc) - Institute of Analysis and Scientific Computing, TU Wien, Austria Head of Research Programme (f/m/d) Plasma Surface Modification, Leib­niz In­sti­tu­te for Plas­ma Sci­ence and Tech­no­lo­gy (INP), Germany Project Officer, University of Luxembourg, Luxembourg Doctoral researcher in Psychology (DE / EN), University of Luxembourg, Luxembourg 1 PostDoc (m/f/d), German Institute of Human Nutrition (DIfE), Germany Modelling and control for MMC-based VSC HVDC system stability studies, KU Leuven, Belgium ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

Postdoctoral Researcher in the Philosophy, Theology or Religious Studies, Radboud University, Netherlands PhD Candidate: Rebel-to-State Transition in Civil War, Radboud University, Netherlands Postdoctoral Researcher in Modelling and Control of Neural Systems at the Donders Center for Cognition, Radboud University, Netherlands ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

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PhD position: Ultra-fast thermometry on molecular heat engines at cryogenic temperatures, Université catholique de Louvain, Belgium PhD Research Position INSPEXT “In-Situ Pellicle Exposure and Transmission ”, University of Twente, Netherlands Doctoral position: FishPath - Turbulent eddies to create paths for safe downstream migration for salmonids and eel past hydropower intakes, ETH Zurich, Switzerland Image analyst, ETH Zurich, Switzerland PhD student in Methods and Applications for Inertial Measurement Units | Embedded Systems, Signal Processing, Human-Computer Interaction, ETH Zurich, Switzerland Post-doc in the project funded by the National Science Center in the Institute of Human Nutrition Sciences, Warsaw University of Life Sciences, Poland ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

Doctoral scholarship holder radiotheranostics for personalized cancer treatment, University of Antwerp, Belgium ✅ If you are not interested in these positions, share them with your friends. You might change their life by simply sharing these! ✔️ @ApplyTime 🌐 https://applytime.ir

Postdoctoral position at DICE, Paderborn Univeristy - Germany Paderborn University is a high-performance and internationally oriented university with approximately 20,000 students. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts, and actively transfer knowledge into society. As an important research and cooperation partner, the university also shapes regional development strategies. We offer our more than 2,500 employees in research, teaching, technology, and administration a lively, family-friendly, equal opportunity environment, a lean management structure, and diverse opportunities. Join us to invent the future! In the Faculty of Electrical Engineering, Computer Science, and Mathematics, the Department of Data Science offers a full-time position for postdoctoral researchers in the NLP group. The NLP group works on the intersection of Data Science and Natural Language Processing areas. We focus on creating algorithms that allow computers to extract automatically large-scale knowledge from unstructured data and process them while preserving their semantic key information. We aim to make the acquired knowledge accessible and understandable for both humans and computers. Our team has started addressing two of the most important tasks in NLP by relying on Knowledge Graphs, Named Entity Recognition, and Entity Linking. Our research resulted in two state-of-the-art frameworks in respect of multilingualism and knowledge-graph-based algorithms. Recently, we expanded our focus on different NLP tasks ranging from basic research in computational linguistics to Question Answering, Machine Translation, Natural Language Generation, and Understanding. For more information, please access the link below: https://www.uni-paderborn.de/fileadmin/zv/4-4/stellenangebote/Kennziffer5342-5344_Englisch.pdf PS: We extended the applications for two more weeks. -- Dr. Diego Moussallem Postdoctoral researcher Ph.D. Computer Science and Mathematics - Paderborn University M.Sc. Computer Science - Military Institute of Engineering mobile: +49 0178 4599044 Skype diegomoussallem✔️ @ApplyTime

Postdoctoral Research Associate in Machine Learning for Water Resources Modelling Dear Friends, The School of Biomedical Engineering and School of Computer Science in the Faculty of Engineering at The University of Sydney has recently established new research areas in water quality modelling and sensing; water safety and treatment; data science, artificial intelligence or machine learning methods to predict and understand water quality parameters. The Faculty of Engineering has also set up the Digital Sciences Initiative (DSI) to undertake research in both fundamental digital sciences and applied digital technologies. Part of the DSI effort is to drive the Water Resources Data Science for Water Safety in the Faculty of Engineering, a joint effort led by the School of Biomedical Engineering in collaboration with the School of Computer Science, and the School of Electrical Engineering. We are currently seeking to appoint one Postdoctoral Research Associate to work on areas such as computational data science, machine learning, and artificial intelligence in water quality prediction and investigation. The successful applicant will also be part of the Sydney Nano, which is a large and diverse Nano-Institute with research strengths in many areas. In addition, we have a strong applied water sensing group working on various aspects of water science research. Link to apply: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-Research-Associate-in-Computer-Science-and-Biomedical-Engineering_0094047-1 Thank you!✔️ @ApplyTime

DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA POSITION: Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning CONTACT: Prof. Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 USA pstone@cs.utexas.edu www.cs.utexas.edu/~pstone Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone. Primary responsibilities include performing cutting-edge research in collaboration with faculty, Ph.D. students, and other researchers. The research will focus on developing and testing novel algorithms for in connection with a range of projects related to robotics and multiagent reinforcement learning. Motivating use cases include long-term autonomous service robots, robot soccer, and adaptive autonomous driving and traffic management. QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience with machine learning and intelligent robotics is essential. Experience in deep reinforcement learning, multiagent systems, and/or ROS is desired. TO APPLY: Applicants should send by email to pstone@cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found This position is to start as early as September of 2022 or at any agreed upon later date. Applications will be reviewed as they are received. ✔️ @ApplyTime