PhD position in neutrino and multi-messenger astronomy, Université catholique de Louvain, Belgium
Postdoctoral position: Data Analysis and GTK operation for NA62 experiment, Université catholique de Louvain, Belgium
Research Laboratory Technician (m/f) in Molecular and Cellular Biology, Université catholique de Louvain, Belgium
Research Associate/Fellow (fixed term), University of Nottingham, UnitedKingdom
Research Assistant - 0.6667 working time - salary grade 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate) - Heterogeneous Catalysis - BasCat, TU Berlin, Germany
Research Associate/Fellow (fixed term), University of Nottingham, UnitedKingdom
Research Assistant - 0.6667 working time - salary grade 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate) - Heterogeneous Catalysis - BasCat, TU Berlin, Germany
Research Assistant / Associate / Fellow, University of Nottingham, UnitedKingdom
Research Associate/Fellow in Medicinal Chemistry (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
✅ 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: Data Analysis and GTK operation for NA62 experiment, Université catholique de Louvain, Belgium
Research Laboratory Technician (m/f) in Molecular and Cellular Biology, Université catholique de Louvain, Belgium
Research Associate/Fellow (fixed term), University of Nottingham, UnitedKingdom
Research Assistant - 0.6667 working time - salary grade 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate) - Heterogeneous Catalysis - BasCat, TU Berlin, Germany
Research Associate/Fellow (fixed term), University of Nottingham, UnitedKingdom
Research Assistant - 0.6667 working time - salary grade 13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate) - Heterogeneous Catalysis - BasCat, TU Berlin, Germany
Research Assistant / Associate / Fellow, University of Nottingham, UnitedKingdom
Research Associate/Fellow in Medicinal Chemistry (Fixed term), University of Nottingham, UnitedKingdom
Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom
✅ 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
👍2
Research Assistant (fixed term), University of Nottingham, UnitedKingdom
PHD STUDENT, ON THE SUBJECT OF SECURITY, COMPUTER SYSTEMS, Centrum Wiskunde & Informatica (CWI), 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
PHD STUDENT, ON THE SUBJECT OF SECURITY, COMPUTER SYSTEMS, Centrum Wiskunde & Informatica (CWI), 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
OPEN POSITION - Ph.D. - RESEARCH ASSOCIATE (m/f/d) at the Institute of Data Science Foundations at the Hamburg University of Technology (TUHH)
For the Institute of Data Science Foundations of the Hamburg University of Technology for the earliest possible date, we are looking for a:
Ph.D. - RESEARCH ASSOCIATE (m/f/d)
Full time, for a maximum of 4 years. The remuneration is in accordance with TV-L 13.
YOUR TASKS
Fundamental research on topics related to the Institute for Data Science Foundations
Publication of research results in journals and at relevant computer science / mathematics conferences
Support of teaching activities and knowledge sharing tasks at the Institute for Data Science Foundations
YOUR PROFILE
Completed scientific university studies, in particular in the subject area/s mathematics, computer science, or comparable
Very good communication skills in English for publications, lectures and project meetings
Knowledge in relation to some of the following areas is an advantage:
o Data science
o Artificial intelligence
o Robotics o Machine learning (supervised learning, deep neural networks, statistical learning theory, reinforcement learning)
o Mathematical background, for instance in: probability theory, functional analysis, differential and/or algebraic geometry, information theory, information geometry
The following knowledge is an advantage:
o Experience in scientific writing
o Experience in Python programming
OUR OFFER
We offer you the opportunity for scientific qualification with the aim of a doctorate
Become a member of the Institute for Data Science Foundations, and benefit from excellent supervision and interdisciplinary exchange
Integrate into an excellent research network with national and international opportunities for collaboration
Work in a motivated and interdisciplinary team, and develop your soft skills
For further information please contact Prof. Dr. Nihat Ay, e-mail: nihat.ay@tuhh.de or his assistant Ms. Sandra Krüger, e-mail: sandra.krueger@tuhh.de.
We particularly encourage women to apply. Due to their underrepresentation, they will be given priority in cases of equal suitability, qualifications and professional performance.
Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system.
Notice for graduates of foreign educational qualifications: Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).
We look forward to receiving your online application by July 31st 2022.
Position Denoscription
Please upload your application documents here.
Kind regards
Sandra Krüger
Assistant to Prof. Dr. Nihat Ay
Institute for Data Science Foundations // E-21
Hamburg University of Technology // TUHH
Hamburg Innovation Port // HIP ONE
Blohmstraße 15
5th floor
21079 Hamburg
e-mail: sandra.krueger@tuhh.de
✔️ @ApplyTime
For the Institute of Data Science Foundations of the Hamburg University of Technology for the earliest possible date, we are looking for a:
Ph.D. - RESEARCH ASSOCIATE (m/f/d)
Full time, for a maximum of 4 years. The remuneration is in accordance with TV-L 13.
YOUR TASKS
Fundamental research on topics related to the Institute for Data Science Foundations
Publication of research results in journals and at relevant computer science / mathematics conferences
Support of teaching activities and knowledge sharing tasks at the Institute for Data Science Foundations
YOUR PROFILE
Completed scientific university studies, in particular in the subject area/s mathematics, computer science, or comparable
Very good communication skills in English for publications, lectures and project meetings
Knowledge in relation to some of the following areas is an advantage:
o Data science
o Artificial intelligence
o Robotics o Machine learning (supervised learning, deep neural networks, statistical learning theory, reinforcement learning)
o Mathematical background, for instance in: probability theory, functional analysis, differential and/or algebraic geometry, information theory, information geometry
The following knowledge is an advantage:
o Experience in scientific writing
o Experience in Python programming
OUR OFFER
We offer you the opportunity for scientific qualification with the aim of a doctorate
Become a member of the Institute for Data Science Foundations, and benefit from excellent supervision and interdisciplinary exchange
Integrate into an excellent research network with national and international opportunities for collaboration
Work in a motivated and interdisciplinary team, and develop your soft skills
For further information please contact Prof. Dr. Nihat Ay, e-mail: nihat.ay@tuhh.de or his assistant Ms. Sandra Krüger, e-mail: sandra.krueger@tuhh.de.
We particularly encourage women to apply. Due to their underrepresentation, they will be given priority in cases of equal suitability, qualifications and professional performance.
Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system.
Notice for graduates of foreign educational qualifications: Please submit proof of all obtained university degrees and, if available, the recognition of your educational qualifications in Germany (e.g. anabin excerpts and/or acknowledgement of previous employers).
We look forward to receiving your online application by July 31st 2022.
Position Denoscription
Please upload your application documents here.
Kind regards
Sandra Krüger
Assistant to Prof. Dr. Nihat Ay
Institute for Data Science Foundations // E-21
Hamburg University of Technology // TUHH
Hamburg Innovation Port // HIP ONE
Blohmstraße 15
5th floor
21079 Hamburg
e-mail: sandra.krueger@tuhh.de
✔️ @ApplyTime
Positions opening in RL and Autonomous Robotics at ISTC-CNR, Rome
Dear Colleagues,
This message is to announce that different Research Grants positions (Post-Doc and Research Fellowship, eventually to be associated with a Ph.D. program in Computer Science at Plymouth University, UK) will be opening from October 2022 (and in the next months) in the context of the European Union PILLAR-Robots project (Starting October 1st). The research will be conducted at the ISTC-CNR (https://istc.cnr.it) in Rome, Italy, under the supervision of Vieri Giuliano Santucci. ISTC is a highly interdisciplinary Institute, in which international level researchers focus on the study of Cognitive Science through approaches ranging from psychology to machine learning and robotics.
Further details about PILLAR-Robots project and its partners can be found at the end of this message.
For information, preliminary interviews (which do not replace the need to participate in the call for applications once opened) and sending CVs, please contact Vieri Giuliano Santucci by email (vieri[dot]santucci[at]istc[dot]cnr[dot]it).
Best regards,
Vieri Giuliano Santucci
_________________________________________________
Project denoscription
PILLAR-Robots aims at developing a new generation of robots endowed with a higher level of autonomy, that are able to determine their own goals and establish their own strategies, creatively building on the experience acquired during their lifetime to fulfill the desires of their human designers/users in real-life application use-cases brought to TRL5. To this end, the project will operationalize the concept of Purpose, drawn from the cognitive sciences, to increase the autonomy and domain independence of robots during autonomous learning and, at the same time, to lead them to acquire knowledge and skills that are actually relevant for operating in target real applications. In particular, the project will develop algorithms for the acquisition of purpose by the robot, ways to bias the perceptual, motivational and decision systems of the robots’ cognitive architectures towards purposes, and strategies for learning representations, skills and models that allow the execution of purpose-related deliberative and reactive decision processes. Given the aim of reaching TRL5, PILLAR-Robots will implement and validate demonstrators of purposeful lifelong open-ended autonomy using the resulting Purposeful Intrinsically Motivated Cognitive Architecture within three different application fields characterized by different types and levels of variability: Agri-food, Edutainment, and unstructured Industrial/retail. PILLAR-Robots will perform a complete evaluation of the possibilities and impacts of purposeful lifelong open-ended autonomy in these realms from an operational perspective, but also from a market-oriented (with significant productivity gains) and societal (socio-economic, ethical and regulatory) perspective. Engagement of industry and SME players is also expected in order to prepare the ground for further large-scale demonstration.
ISTC-CNR Research within PILLAR-Robots
The research at ISTC-CNR will be particularly focused on these different topics (not to be all addressed within a single research fellowship):
- Development of motivational systems (based on Intrinsic and Extrinsic Motivations) for autonomous artificial systems
- Development of hierarchical robotic architectures for autonomous open-ended learning
- Autonomous Curriculum Learning and learning of interrelated tasks
- Autonomous learning of representations for knowledge and competence acquisition
- Theoretical analysis of the concept of Purpose and its relation with Goals.
- Analysis of the ethical, legal and economic impacts of autonomous robots
Dear Colleagues,
This message is to announce that different Research Grants positions (Post-Doc and Research Fellowship, eventually to be associated with a Ph.D. program in Computer Science at Plymouth University, UK) will be opening from October 2022 (and in the next months) in the context of the European Union PILLAR-Robots project (Starting October 1st). The research will be conducted at the ISTC-CNR (https://istc.cnr.it) in Rome, Italy, under the supervision of Vieri Giuliano Santucci. ISTC is a highly interdisciplinary Institute, in which international level researchers focus on the study of Cognitive Science through approaches ranging from psychology to machine learning and robotics.
Further details about PILLAR-Robots project and its partners can be found at the end of this message.
For information, preliminary interviews (which do not replace the need to participate in the call for applications once opened) and sending CVs, please contact Vieri Giuliano Santucci by email (vieri[dot]santucci[at]istc[dot]cnr[dot]it).
Best regards,
Vieri Giuliano Santucci
_________________________________________________
Project denoscription
PILLAR-Robots aims at developing a new generation of robots endowed with a higher level of autonomy, that are able to determine their own goals and establish their own strategies, creatively building on the experience acquired during their lifetime to fulfill the desires of their human designers/users in real-life application use-cases brought to TRL5. To this end, the project will operationalize the concept of Purpose, drawn from the cognitive sciences, to increase the autonomy and domain independence of robots during autonomous learning and, at the same time, to lead them to acquire knowledge and skills that are actually relevant for operating in target real applications. In particular, the project will develop algorithms for the acquisition of purpose by the robot, ways to bias the perceptual, motivational and decision systems of the robots’ cognitive architectures towards purposes, and strategies for learning representations, skills and models that allow the execution of purpose-related deliberative and reactive decision processes. Given the aim of reaching TRL5, PILLAR-Robots will implement and validate demonstrators of purposeful lifelong open-ended autonomy using the resulting Purposeful Intrinsically Motivated Cognitive Architecture within three different application fields characterized by different types and levels of variability: Agri-food, Edutainment, and unstructured Industrial/retail. PILLAR-Robots will perform a complete evaluation of the possibilities and impacts of purposeful lifelong open-ended autonomy in these realms from an operational perspective, but also from a market-oriented (with significant productivity gains) and societal (socio-economic, ethical and regulatory) perspective. Engagement of industry and SME players is also expected in order to prepare the ground for further large-scale demonstration.
ISTC-CNR Research within PILLAR-Robots
The research at ISTC-CNR will be particularly focused on these different topics (not to be all addressed within a single research fellowship):
- Development of motivational systems (based on Intrinsic and Extrinsic Motivations) for autonomous artificial systems
- Development of hierarchical robotic architectures for autonomous open-ended learning
- Autonomous Curriculum Learning and learning of interrelated tasks
- Autonomous learning of representations for knowledge and competence acquisition
- Theoretical analysis of the concept of Purpose and its relation with Goals.
- Analysis of the ethical, legal and economic impacts of autonomous robots
👍1
Background of the research:
- Machine Learning
- Reinforcement Learning
- Intrinsically Motivated Open-Ended Learning
Skills:
- Programming abilities in Python or C++ (required)
- Machine Learning expertise (required)
- Robot control interfaces (welcomed)
- Good knowledge of English
_________________________________________________
PILLAR- Robots Partners and PIs:
- Universidade da Coruña, A Coruña (Spain) – Richard Duro (Coordinator)
- Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Roma (Italy) – Vieri Giuliano Santucci
- Sorbonne Universite, Paris (France) – Stéphane Doncieux
- Athina-Erevnitiko Kentro Kainotomias Stis Technnologies Tis Pliroforias, Athīna (Greece) – Petros Maragos
- AI2Life SRL, Roma (Italy) – Adriano Capirchio
- PAL Robotics SRL, Barcelona (Spain) – Francesco Ferro
✔️ @ApplyTime
- Machine Learning
- Reinforcement Learning
- Intrinsically Motivated Open-Ended Learning
Skills:
- Programming abilities in Python or C++ (required)
- Machine Learning expertise (required)
- Robot control interfaces (welcomed)
- Good knowledge of English
_________________________________________________
PILLAR- Robots Partners and PIs:
- Universidade da Coruña, A Coruña (Spain) – Richard Duro (Coordinator)
- Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche (ISTC-CNR), Roma (Italy) – Vieri Giuliano Santucci
- Sorbonne Universite, Paris (France) – Stéphane Doncieux
- Athina-Erevnitiko Kentro Kainotomias Stis Technnologies Tis Pliroforias, Athīna (Greece) – Petros Maragos
- AI2Life SRL, Roma (Italy) – Adriano Capirchio
- PAL Robotics SRL, Barcelona (Spain) – Francesco Ferro
✔️ @ApplyTime
1 Postdoc at the University of Gothenburg in Digital Twins of Real Ecosystems
Claes Strannegård's group is looking for a post-doc with a strong AI background to join our research team at the University of Gothenburg.
Our goal is to build digital twins of real ecosystems. We use geographic data to build 3D models of real landscapes in the game engine Unity. Then we populate these digital landscapes with animal models, whose behavior has been trained using deep reinforcement learning and curriculum learning. Finally, we can observe how the digital ecosystems develop with or without various forms of human interventions.
Link to the ad: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=26634.
Read more about the project here: https://www.researchgate.net/publication/361925258_Ecosystem_Models_Based_on_Artificial_Intelligence.
For more info about the position, please contact claes.strannegard@gu.se.
✔️ @ApplyTime
Claes Strannegård's group is looking for a post-doc with a strong AI background to join our research team at the University of Gothenburg.
Our goal is to build digital twins of real ecosystems. We use geographic data to build 3D models of real landscapes in the game engine Unity. Then we populate these digital landscapes with animal models, whose behavior has been trained using deep reinforcement learning and curriculum learning. Finally, we can observe how the digital ecosystems develop with or without various forms of human interventions.
Link to the ad: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89bead79bb7258ad55c8d75228e5b7&job_id=26634.
Read more about the project here: https://www.researchgate.net/publication/361925258_Ecosystem_Models_Based_on_Artificial_Intelligence.
For more info about the position, please contact claes.strannegard@gu.se.
✔️ @ApplyTime
Reachmee
Postdoctoral researcher in Cognitive Science
About the department
At the Department of Applied Information Technology, critical and interdisciplinary research is conducted
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
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
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
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
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
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
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
✅ 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 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
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
Coordinator Marine Training and Education Unit of Ghent University (24114) - Biology, Ghent University, Belgium
Assistant (24429) - Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Ghent University, Belgium
Post-doctoral assistant (23909) - Virology, parasitology and immunology, Ghent University, Belgium
Research manager virology for the KU Leuven VirusBank, KU Leuven, Belgium
PhD on integrated data and knowledge driven modeling of high-dimensional data, Eindhoven University of Technology, Netherlands
Postdoc position in Immunology, Institute Necker Enfants Malades (INEM), France
NCS2030 - PhD Fellowship in Reservoir Engineering/Physical Chemistry, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Subsurface Geosciences, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Robust reservoir management for safe and efficient CO2/H2 utilization and storage, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Debiasing of Probabilistic Forecasts, University of Stavanger, Norway
✅ 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
Assistant (24429) - Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Ghent University, Belgium
Post-doctoral assistant (23909) - Virology, parasitology and immunology, Ghent University, Belgium
Research manager virology for the KU Leuven VirusBank, KU Leuven, Belgium
PhD on integrated data and knowledge driven modeling of high-dimensional data, Eindhoven University of Technology, Netherlands
Postdoc position in Immunology, Institute Necker Enfants Malades (INEM), France
NCS2030 - PhD Fellowship in Reservoir Engineering/Physical Chemistry, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Subsurface Geosciences, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Robust reservoir management for safe and efficient CO2/H2 utilization and storage, University of Stavanger, Norway
NCS2030 - PhD Fellowship in Debiasing of Probabilistic Forecasts, University of Stavanger, Norway
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NCS2030 - PhD Fellowship in Reservoir Engineering/Physical Chemistry, University of Stavanger, Norway
PhD candidate | unravelling the role of soil microbial diversity in the soil carbon dynamics, Leiden University, Netherlands
Post-doctoral researcher, social media analytics for algorithmic profiling, Leiden University, Netherlands
PhD Researcher or Postdoc on Environmental impact assessment of green hydrogen and circular bio-coal from biowaste for steel manufacturing at the Industrial Ecology Department, Leiden University, Netherlands
Two Post-Doctoral Researchers in Comparative Political Economy on Labour Market and Welfare State Transformations as part of a new Horizon Europe project (4 years)., Leiden University, Netherlands
Five two-year post-doctoral research positions, Leiden University, Netherlands
Postdoctoral researcher in Public Health (0.8 FTE), Leiden University, Netherlands
THREE POSTDOCS ON VOLUMETRIC VIDEO FOR XR-BASED COMMUNICATION AND COLLABORATION, Centrum Wiskunde & Informatica (CWI), Netherlands
POSTDOC ON USER EXPERIENCE DESIGNER AND EVALUATION: INTERACTIVE XR APPLICATIONS, Centrum Wiskunde & Informatica (CWI), Netherlands
Postdoctoral position in the Ocean Infrastructure Group, Department of Political Science, University of Copenhagen, University of Copenhagen, Denmark
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PhD candidate | unravelling the role of soil microbial diversity in the soil carbon dynamics, Leiden University, Netherlands
Post-doctoral researcher, social media analytics for algorithmic profiling, Leiden University, Netherlands
PhD Researcher or Postdoc on Environmental impact assessment of green hydrogen and circular bio-coal from biowaste for steel manufacturing at the Industrial Ecology Department, Leiden University, Netherlands
Two Post-Doctoral Researchers in Comparative Political Economy on Labour Market and Welfare State Transformations as part of a new Horizon Europe project (4 years)., Leiden University, Netherlands
Five two-year post-doctoral research positions, Leiden University, Netherlands
Postdoctoral researcher in Public Health (0.8 FTE), Leiden University, Netherlands
THREE POSTDOCS ON VOLUMETRIC VIDEO FOR XR-BASED COMMUNICATION AND COLLABORATION, Centrum Wiskunde & Informatica (CWI), Netherlands
POSTDOC ON USER EXPERIENCE DESIGNER AND EVALUATION: INTERACTIVE XR APPLICATIONS, Centrum Wiskunde & Informatica (CWI), Netherlands
Postdoctoral position in the Ocean Infrastructure Group, Department of Political Science, University of Copenhagen, University of Copenhagen, Denmark
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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
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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
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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
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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
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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
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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
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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
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
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 noscriptd "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
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 noscriptd "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