Deep (Learning) Gravity

DTU Management conducts high-level research and teaching with a focus on sustainability, transport, innovation, and management science. Our goal is to create knowledge on the societal aspects of technology - including the interaction between technology and sustainability, business growth, infrastructure, and prosperity. Therefore, we explore and create value in the areas of management science, innovation and design thinking, business analytics, systems and risk analyses, human behaviour, regulation, and policy analysis. The department offers teaching from introductory to advanced courses/projects at BSc, MSc, and PhD level. The Department has a staff of approximately 350 people. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 13,400 students and 5,800 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world. Felix Wilhelm Siebert Assistant Professor Division of Transport Transport Psychology Section [email protected] Bygningstorvet Building 116 2800 Kgs. Lyngby Technical University of Denmark 🔭 @DeepGravity

Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education. Assessment The review of applications will begin on 8 September 2022. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. The preferred starting date is 1 January 2023. The position is a full-time position. You can read more about career paths at DTU here. Workplace This PhD study is under the Double Doctorate Degree agreement between DTU and NTU. DTU will be the home institution that will handle all the administrative and financial aspects of the joint education. DTU will enrol the candidate in one of its PhD programs and nominate the main supervisor. NTU will be the host institution and will also enrol the candidate in one of its PhD programs. The candidate must spend a minimum of one year at each of the two institutions. Further information Further information may be obtained from Assistant Professor Felix Siebert ([email protected]). You can read more about DTU Management at www.man.dtu.dk/english. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark. Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted no later than 7 September 2022 (Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file. The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion, or ethnic background are encouraged to apply. About the department The Transport Psychology section and the Machine Learning for Smart Mobility section belong to the Transport division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts research and teaching in the field of traffic and transport planning, with particular focus on road user behaviour modelling and analysis, machine learning, and simulation.

PhD Position: Computer Vision and Road Safety Dear all, We are recruiting for a three-year PhD position on computer vision, road safety, and data privacy at the Technical University of Denmark (DTU). The position is based at the Transport Psychology Section and the Machine Learning for Smart Mobility Section of DTU, with a one year stay at Nanyang Technological University Singapore (NTU). The PhD will be conducted under the DTU-NTU Double Doctorate Degree agreement. The deadline for application is the 7th of September 2022 (Danish time). You can contact me at [email protected] for more info on the position. You can find more details below and under this application link: https://www.dtu.dk/om-dtu/job-og-karriere/ledige-stillinger/job?id=d65debfd-8864-4824-adc5-d3253c7dbdb5 Best, Felix *Detailed Description* DTU Management’s Transport Division invites applications for a 3-year PhD position in the field of computer vision, edge computing, federated learning, and road safety. The successful candidate will join the Transport Psychology Group and will work under the supervision of Assistant Professor Felix Siebert, Senior Researcher Mette Møller, and Professor Francisco Pereira. The PhD project will investigate privacy-preserving detection of safety-related behaviour of road users in the road environment, with computer vision and federated learning. Relevant data will be collected in road environments in Denmark and Singapore. State-of-the-art object detection approaches will be applied on the collected data. Detection robustness and privacy-preserving features, including edge computing and federated learning, will be developed. Collected behavioural data will be used to identify patterns of safe and unsafe behaviour of road users, within the scopes of short- and long-term trends. The project is a strategic collaboration between the Technical University of Denmark (DTU) and its Alliance Network partner Nanyang Technological University (NTU) and will be conducted under the DTU-NTU double degree framework agreement which offers the opportunity to receive PhD diplomas from both DTU (home institution) and NTU (host institution). Your PhD study will include a 1-year stay at NTU. You will be a member of the Transport Psychology section at the Department for Technology, Management and Economics (DTU Management) at the Technical University of Denmark. You will work under the supervision of Senior Researcher Mette Møller, Professor Francisco Pereira (Machine Learning for Smart Mobility section), and Assistant Professor Felix Siebert. Further supervision is provided by Professor Dusit Niyato from the School of Computer Science and Engineering (SCSE) at NTU. Responsibilities and qualifications Your primary tasks will be to · Plan and conduct systematic roadside video data collection in Denmark and Singapore · Based on the collected data, develop, test, and apply object detection approaches for safety related behaviour · Advance the state of the art in edge computing and/or federated learning to facilitate data privacy · Analyse the collected road user data for behavioural patterns · Write academic papers aimed at high-impact journals · Participate in international conferences and workshops · Disseminate research results and teach as part of the overall PhD education You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Specifically, we seek applicants with a master's degree in transport, mathematics, statistics, computer science, civil engineering, industrial engineering, or a related discipline. We are looking for an ambitious, self-organized individual with strong project management and communication skills. Applicants should have experience in some of the following areas: computer vision, federated learning, edge computing, statistics, machine learning, data collection, and analysis. Programming skills in Python or similar and proficient English language skills are also required.

PostDoc or full time research position for Robot Learning at TCS Research India Dear All, Our research team in TCS research India is looking for motivated Postdoc or full time doctorate candidates with good publications to work on topic related to Robot Learning where the aim is to endow a robot with higher level of cognition so that they can physically sense the world and interact with their environment in the realm of embodied artificial intelligence. In particular, we aim to build housekeeping robots for tyding up a room/facility along with humans. This setting integrates a number of the central challenges of artificial intelligence (AI) research: complex visual perception including combination of touch and vision, goal-directed planning, manipulation and physical motion, grounded language comprehension and production, and human-robot social interaction/navigation/collaboration in an open world. Who can apply?: Post-doc of full time: Recent Computer Science or AI based Robotics Ph.D. candidates who have submitted their thesis or very near to it in the relevant areas of cognitive robotics. We are looking for candidates with some of the following skills or equivalent to these: Domain Skills: Computer Vision: 3D Reconstruction, point cloud registration, pose estimation, visual odometry etc. Robotics: Path planning, motion planning, navigation, exploration, grasping methods Deep Learning: Hands-on experience in reinforcement learning or Self-supervised learning, and graph neural networks. Technical Skills: Coding Language: Python (Primary), C++ (Basic), familiarity on ROS, Pybullet or any other simulation environment like Habitat/iGibson Deep Learning Framework: PyTorch (Primary), Tensorflow (Basic) Good interpersonal skills to communicate ideas, experimental results, and analysis with other team members. Interested candidates can send their CV with the information that shows the required domain and technical skills along with publication details (These are important in the selection process). Send CVs to [email protected] with the subject line “Research Opportunities at Cognitive Robotics, TCS Research”. For any query, you may write to the following. Dr. Brojeshwar Bhowmick, Senior Scientist, TCS Research ( [email protected]) Best Regards, Brojeshwar ____________________________________________ Dr. Brojeshwar Bhowmick, Senior Scientist, TCS Research Cell:- 7044944788 Mailto: [email protected] Website: https://sites.google.com/view/brojeshwar/home 🔭 @DeepGravity

PhD position in Multiple-view reconstruction of deformable objects The Imagine team at LIRIS laboratory, Lyon- France is looking for a PhD student to work on deformable 3D reconstruction from multiple views (Link to offer). The goal of this project is to develop fast reconstruction algorithms. The PhD will be supervised by Prof. Liming Chen ([email protected]) and Shaifali Parashar ([email protected]) . Requirements: Masters in computer vision, robotics, machine learning, mathematics or any field related to the topic Strong programming skills in C++ and python Fluency in English Project duration: 36 months Tentative start date: October 2022 How to apply: Please send your CV, transcripts and 2 reference letters to Liming Chen and Shaifali Parashar with the subject "Multiple-view reconstruction of deformable objects ". Best, Shaifali 🔭 @DeepGravity

PhD Research Position, Humboldt University, Berlin, Germany Real-Time 3D Vision for Microscopy https://www.informatik.hu-berlin.de/de/forschung/gebiete/viscom/open-research-position-fonda Within the Collaborative Research Center Fonda, the Visual Computing Group at Humboldt University is looking for an enthusiastic researcher working on new methods for 3d computer vision workflows and methods. The position is embedded into the interdisciplinary subproject Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision, which is processed jointly between Computer Science and Physics and also in collaboration with the Computer Vision & Graphics group of Fraunhofer HHI. - Full PhD position (first contract until until 06/2024) (salary EG 13, about 48k Euros) - development of novel 3D computer vision methods for microscopy, 3d reconstruction/tracking workflow optimization for distributed computing - send you application (quoting DR/089/22) to [email protected] - deadline July 27th, 2022 Requirements: Completed university degree in computer science or related disciplines (preferably with very good marks); profound knowledge in computer vision, deep learning, 3D image analysis, software engineering, C++; experience in workflow systems beneficial; very good command of English; team player Within this project, we plan to establish an abstract description of common components of 3D vision data analysis workflows (DAWs) that allows for an efficient distribution on different computing hardware infrastructure as well as a simple adaptation to different experimental settings and sensors. The work includes the analysis, modularization and optimization of of 3d vision algorithms with respect to computational and memory demands, scalability, data dependencies, and adaptability. The focus will be on 3D vision / 3D reconstruction DAWs in the area of microscopy and suitable schemes of parallelization, namely optical reflection tomography of fossils captured in amber on a microscopic scale and real time tracking. More information about the position can be found at https://www.informatik.hu-berlin.de/de/forschung/gebiete/viscom/open-research-position-fonda 🔭 @DeepGravity

Researcher in Explainable AI and Medical Natural Language Processing (KU Leuven, Belgium) We offer a two-year research position for a postdoctoral or predoctoral scientist on the topic of explainable AI in the context of natural language processing of clinical reports at the Department of Computer Science, KU Leuven. The position is financed by the CHIST-ERA project ANTIDOTE (ArgumeNtaTIon-Driven explainable artificial intelligence fOr digiTal mEdicine). The project focuses on deep learning models for text classification in the medical domain, where the need for high quality explanations of clinical decisions is critical. The project proposes an integrated approach for the understanding of textual medical data and the generation of a textual explanation to justify a medical diagnosis made by a neural network, so that clinicians can judge its validity. The partners of the ANTIDOTE project provide annotated argumentative structures of natural language explanations of medical decisions (human explanations). We will also leverage larger-scale data (without annotated explanations) in order to improve explanation generation. To guide explanation generation we will use feature importance techniques (integrated gradients, attention mechanisms, or search-based methods). KU Leuven is declared the most innovative university in Europe for the fourth year in a row (Reuters) and is ranked 42th on the Times Higher Education World University Ranking (2022). Offer We offer a research position for 2 years starting September 1 or the latest October 1, 2022. We offer a competitive wage and yearly budget to attend conferences. We offer the opportunity for personal development beyond research including the supervision of master and PhD students and the possibility to contribute to teaching. We offer access to our deep learning cluster which contains the latest GPU hardware. Responsibilities Perform fundamental research in natural language processing, machine learning and explainable AI resulting in publications in highly-ranked venues. Collaborate with the other European partners of the ANTIDOTE project. Profile You have (or are near completion of) a master or PhD in Computer Science. Given that we have to fill in the research position very soon, we will only consider applicants who can work in the European Union without a visa application. You have a demonstrated expertise in machine learning, deep neural networks and natural language processing. Expertise in structured prediction and/or structured generation is a plus. You have an outstanding track record of publications in relevant international peer-reviewed A ranked conferences and in journals with high impact factor in the fields of machine learning and natural language processing. You are good at collaborating with others. You work proactively and independently and have good communication skills. You have an excellent knowledge of the English language, both spoken and written as well as of another European language (e.g., French, Spanish or Italian). You are highly motivated, ambitious and result-oriented. If interested, please apply the latest by July 31, 2022 by sending your CV and motivation letter to Dr. Damien Sileo ([email protected]) or Prof. Dr. Marie-Francine Moens ([email protected]). Excellent candidates will be invited for an online interview. The position will be closed once a suitable candidate is found. For more information please contact Dr. Damien Sileo ([email protected]) or Prof. Dr. Marie-Francine Moens ([email protected]). 🔭 @DeepGravity

PhD positions in computer science (machine learning and computer vision) We are looking for students and researchers interested in the intersection of computer vision and machine learning for different application domains (e.g., robotics, sports, healthcare, manufacturing, multimedia, etc. ) at the University of Udine. There are available positions for students who would like to pursue a Ph.D. in Computer Science and Artificial Intelligence and address the problem of "Deep Learning and Computer Vision". Successful applicants will work with our Machine Learning and Perception group as well as with international partners where to spend 6 months abroad period. The deadline for the application is *July 20, 2022*. Full details about the application can be found here: https://www.uniud.it/en/research/doctorate-res/ammissione/active-notice/luglio?set_language=en For further information or discussion, you can contact me at [email protected] Computer Vision and Machine Learning (CVML) email list www page: https://lists.auth.gr/sympa/info/cvml 1) To post a message (in English) to CVML please: send an email to [email protected] with subject: [Topic] Your_subject [Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News]. 2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please: send an empty email to [email protected] with subject: subscribe [email protected] your_name 3) To unsubscribe any time, send an empty email to [email protected] with subject: unsubscribe [email protected] 4) If you have any questions related to CVML list please contact: [email protected] List moderation is supervised by Prof. I.Pitas ([email protected]). 🔭 @DeepGravity

16 funded positions in artificial intelligence & machine learning for postdocs, research fellows, PhD students Join us to work on new machine learning techniques at the Finnish Center for Artificial Intelligence FCAI! We have exciting topics available around the following areas of research: (1) reinforcement learning, (2) probabilistic methods, (3) simulator-based inference, (4) privacy and federated learning, and (5) multi-agent modeling. Your work can be theoretical or applied, or both. The deadline for the postdoc/research fellow applications is on August 21 and for the PhD student applications on August 28, 2022. Read more and apply here: https://fcai.fi/we-are-hiring 🔭 @DeepGravity

🔭 @DeepGravity