1 Postdoc (m/f/d), German Institute of Human Nutrition (DIfE), Germany

Research Assistant/Master’s thesis position (Physics), Tampere University, Finland

PhD candidate in South Asian History/ History of Slavery, Leiden University, Netherlands

Research Associate/Fellow in Mechatronic or Robotics Systems Control for Intelligent Aeroengine in Situ Repair & Inspection Systems (Fixed term), University of Nottingham, UnitedKingdom

Postdoctoral position in metagenomic and metabolomic analysis, Université catholique de Louvain, Belgium

Postdoctoral position in gut-brain axis, Université catholique de Louvain, Belgium

Doctoral student focusing on machine learning and 3D mammography, KTH Royal Institute of Technology, Sweden

Doctoral student (lic) in dynamic train-track-bridge interaction, KTH Royal Institute of Technology, Sweden

Doctoral student in applied mathematics for electromagnetic design, KTH Royal Institute of Technology, Sweden

Doctoral student in Synthetic biology to enhance carbon conversion in cyanobacteria, KTH Royal Institute of Technology, Sweden

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Doctoral student in chemistry, KTH Royal Institute of Technology, Sweden

Doctoral student in Diffusion based Causal Representation Learning, KTH Royal Institute of Technology, Sweden

Doctoral student in Applied Math. within Optimization and Systems Theory, KTH Royal Institute of Technology, Sweden

Doctoral student in sustainable and circular urban agriculture, KTH Royal Institute of Technology, Sweden

Ph.D. Student in Security and Privacy of IoT applications, KTH Royal Institute of Technology, Sweden

Doctoral student in 6G Industrial Wireless Networks, KTH Royal Institute of Technology, Sweden

Doctoral student in spectral turbulent-wing simulations and experiments, KTH Royal Institute of Technology, Sweden

Doctoral student in computational thermodynamics, KTH Royal Institute of Technology, Sweden

Doctoral student in High Temperature Thermal Energy Storage, KTH Royal Institute of Technology, Sweden

Ph.D. In Information theory for stochastic decision problems, KTH Royal Institute of Technology, Sweden

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Doctoral Student within artificial intelligence for wireless communications, KTH Royal Institute of Technology, Sweden

Doctoral student in deep generative models for cancer research, KTH Royal Institute of Technology, Sweden

Ph.D. In algorithms and architectures for high-performance machine-learning, KTH Royal Institute of Technology, Sweden

Doctoral student in Bridge Engineering – new concepts for high speed tracks, KTH Royal Institute of Technology, Sweden

Doctoral student in Organic Redox Flow Batteries, KTH Royal Institute of Technology, Sweden

Doctoral student in Social Robotics, KTH Royal Institute of Technology, Sweden

Doctoral student in Biomedical fluid mechanics, KTH Royal Institute of Technology, Sweden

Doctoral student in Printed Electronics, KTH Royal Institute of Technology, Sweden

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Doctoral student (licentiate) in controlling building energy systems, KTH Royal Institute of Technology, Sweden

Doctoral student in modeling and effect analysis of ship’s dynamics, KTH Royal Institute of Technology, Sweden

Ph.D. in Planning and Control for situation-aware multi-agent systems, KTH Royal Institute of Technology, Sweden

Doctoral students in aging of Automotive Batteries, KTH Royal Institute of Technology, Sweden

Doctoral student in high-speed datacenter networking, KTH Royal Institute of Technology, Sweden

Doctoral student in Chemical Engineering, KTH Royal Institute of Technology, Sweden

Doctoral students in Micro and Nanosystems, KTH Royal Institute of Technology, Sweden

Doctoral students in spectral urban-flow simulations and deep learning, KTH Royal Institute of Technology, Sweden

Doctoral students in Networked Systems Security, KTH Royal Institute of Technology, Sweden

Doctoral student in Joint Radio and Communications, KTH Royal Institute of Technology, Sweden

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Doctoral student in Nuclear Power Safety, KTH Royal Institute of Technology, Sweden

Doctoral student in quantum photonic devices development, KTH Royal Institute of Technology, Sweden

Doctoral students Software Engineering and Cyber-security, KTH Royal Institute of Technology, Sweden

Doctoral student in process metallurgy, KTH Royal Institute of Technology, Sweden

Doctoral student (licentiate) in Remote Sensing and AI for wildfire monitoring, KTH Royal Institute of Technology, Sweden

Postdoc in Inorganic materials synthesis and characterization for solar cells, KTH Royal Institute of Technology, Sweden

Fully-funded PhD Positions in Neurobiology of Behavior | IMPRS for Brain & Behavior, International Max Planck Research School for Brain and Behavior, Germany

PostDoc Intelligent Algorithms, IDEAS NCBR, Poland

PostDoc Cryptography/Blockchain, IDEAS NCBR, Poland

PostDoc Computer Vision, IDEAS NCBR, Poland

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Research Group Leader, IDEAS NCBR, Poland

Researcher in fisheries - biodiversity interactions (M/F) in Nantes at IFREMER - ENGLISH, Ifremer - French Research Institute for Exploitation of the Sea, France

Research Software Engineer (m/f/d), Potsdam Institute for Climate Impact Research (PIK), Germany

PhD in Performance Modeling and Optimization of Future Wi-Fi Networks for Real-Time Low Latency Applications, University of Antwerp, Belgium

Assistant (24698) - Telecommunications and information processing, Ghent University, Belgium

Post-doctoral assistant (24708) - Department of Movement and Sports Sciences, Ghent University, Belgium

Assistant (24710) - Department of Movement and Sports Sciences, Ghent University, Belgium

Assistant (24712) - Department of Head and Skin, Ghent University, Belgium

Post-doctoral assistant (24713) - Department of Internal Medicine and Pediatrics, Ghent University, Belgium

Lectureship with initial Research Fellowship (E&R) (Proleptic), University of Exeter, UnitedKingdom

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3 year-PhD position in Numerical resolution of fluid and kinetic equations for tokamak plasma coupling structured and unstructured meshes. Application to ITER plasma, Aix-Marseille Université, France

Three-year-PhD Position in Modeling complex autistic-like behavior in mice and impact of obesity induced during pregnancy by using computer vision and deep learning approaches, Aix-Marseille Université, France

3-year PostDoc / Engineer Position in Modeling complex autistic-like behavior in mice by using computer vision and deep learning approaches, Aix-Marseille Université, France

Postdoc or PhD Research Position on Artificial Intelligence for Enhanced Sorting and Plastic Recycling, KU Leuven, Belgium

Fung Global Fellows Program, Princeton University, Princeton University, UnitedStates

PhD Student - Department of Structural Engineering and Building Materials, Ghent University, Belgium

PhD position in ab initio electronic transport simulations, ETH Zurich, Switzerland

PhD Position: Multi-Objective Design of Structural Materials by AI-based Structure-Property Inversion, ETH Zurich, Switzerland

Doctoral pos. in Media and Communication Studies, focus Geomedia Studies, Karlstad University, Sweden

PhD position in privacy technologies for the Internet of Things, University of Basel, Switzerland

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Postdoctoral Researcher / Research Fellow for research and project management in integrated circuit (IC) design, Aalto University, Finland

PhD position: Stabilization of gas-liquid foams using amphiphobic catalysts, University of Twente, Netherlands

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Revealing the nature of science through art and design-based research, KU Leuven, Belgium

Innovation Manager 'AI for Health Decision Support', KU Leuven, Belgium

PhD student ENGAGE 02, European Synchrotron Radiation Facility (ESRF), France

Future PhD Positions available at the International Max Planck Research School for Living Matter, International Max Planck Research School for Living Matter (IMPRS-LM), Germany

Postdoctoral researcher on Microsystems for Minimally-invasive Surgery, University of Stuttgart, Germany

Postdoctoral Research Fellow in Affective (Neuro)science for 3 years (with potential extension) at UCLouvain (supervised by Prof. A. Heeren) on Stress Resilience and Biobehavioral Synchrony, Université catholique de Louvain, Belgium

Postdoctoral Researcher - Computational Biology (f/m/d), University of Cologne, Germany

Postdoctoral researcher position on urban adaptation under the ERC-funded project IMAGINE Adaptation (2nd call), BC3 Basque Centre for Climate Change, Spain

Research Associate/Fellow (Fixed term), University of Nottingham, UnitedKingdom

Doctoral Researcher in Social Sciences: Sociology of stratification and inequalities, University of Luxembourg, Luxembourg

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Doctoral fellow - Department of European, Public and International Law, Ghent University, Belgium

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Two postdoctoral positions are available immediately in the lab of Dr. Jennifer Hunter at the School of Optometry and Vision Science, University of Waterloo, Canada. Our research is focused on understanding retinal fluorescence as a biomarker of cell function in healthy and diseased eyes. As we continue to advance this technology, we are looking for enthusiastic and accomplished people to join our team.
The lab is focused on translational research through developing new imaging technologies and applying them to answer scientific questions in preclinical animal models and in people. Research will involve adaptive optics retinal imaging in human subjects and/or in rodents. Our focus is on understanding normal retinal function and the changes that occur during retinal degeneration. In people, we have a particular focus on aging and Stargardt disease. The successful candidate will have the opportunity to utilise an existing adaptive optics scanning light ophthalmoscopes (AOSLO) and to participate in the construction and maintenance of a new AOSLO. A current area of interest is the application of our recently deployed adaptive optics fluorescence lifetime imaging ophthalmoscopy to image the retinal pigment epithelium layer in people (https://doi.org/10.1364/BOE.451628) or in combination with two-photon excited fluorescence ophthalmoscopy in pre-clinical models.

Successful candidates will have a PhD in a related field including, but not limited to, Vision Science, Neuroscience, Biomedical Engineering, or Optics. Experience with retinal imaging, retinal disease or vision science is highly desired, but not required. Initial appointment is for 1 year and may be renewed up to 4 years based on performance.



Applicants should submit by email a statement of interest, curriculum vitae, and the names and contact information of three references to Jennifer Hunter (jjhunter@uwaterloo.ca). Applications will be considered on a rolling basis until both positions are filled.
Jennifer J Hunter, PhD FOptica
Associate Professor
School of Optometry and Vision Science
University of Waterloo
Ontario, Canada

[CVML]Postdoctoral Researcher Position in Human-Robot Interaction & Machine Learning at Sorbonne University
The PIRoS (Perception, Interaction and Robotique Sociales) team of the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University (Paris) is looking for a for a highly motivated and ambitious postdoctoral researcher to conduct research on human-robot interaction & machine learning.
The successful candidate will work on a subset of the following topics:
- Interactive robot learning
- Multimodal perception of human activities
- Generation of multimodal robot behaviors
- Transparency / Explainability of social robots
The candidate will have the opportunity to conduct experiments with various robots (Franka Emika, Pepper, NAO) as well as working on simulation.
She/He will work in collaboration with PhD students, post-docs and public/private partners of ISIR.
This position is for one year (12 months) contract, but there is a possibility to be extended depending on the performance and circumstances.
Requirements:
The ideal candidate must have a PhD degree and a strong background in machine learning, social robotics or cognitive science/neuroscience.
The successful candidate should have:
- Experience in human-robot interaction
- Good knowledge of Machine Learning Techniques
- Good knowledge of experimental design and statistics
- Excellent publication record
- Strong skills in Python
- Willing to work in multi-disciplinary and international teams
- Good communication skills
Application
Interested candidates should submit the following by email before the end of September 2022 in a single PDF file to: mohamed.chetouani[@]sorbonne-universite.fr with the subject: Application Post-Doc HRI-ML
1. Curriculum vitae with 2 references (recommendation letters are also welcome)
2. One-page summary of research background and interests
3. At least three papers (either published, accepted for publication, or in-preparation) demonstrating expertise in one or more of the areas mentioned above
4. Doctoral dissertation abstract and the expected date of graduation (for those who are currently pursuing a Ph.D)
-------------------------------------------------------------------
Mohamed Chetouani
Professeur
PIRoS (Perception, Interaction et Robotique Sociales)
Sorbonne Université - Campus Pierre et Marie Curie
Faculté des Sciences et Ingénierie
Institut des Systèmes Intelligents et de Robotique
CNRS UMR7222
Pyramide – Tour 55
Boîte courrier 173
4 Place Jussieu
75252 Paris Cedex 05, FRANCE
Tel : (33) 01 44 27 63 08
Email : Mohamed.Chetouani@sorbonne-universite.fr
people.isir.upmc.fr/chetouani/

The following positions are open in the department of Complex Systems at the Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic.
Applications for all positions will be reviewed on a rolling basis with a first cut-off point on 30. 9. 2022.

Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning, Prague, Czech Republic
A Postdoc or Junior Scientist position is available to join the Complex Networks and Brain Dynamics group for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. The project involves the development of tools to predict the functional outcome of schizophrenia from multimodal neuroimaging, clinical and cognitive measurements taken early after disease onset. To overcome limitations due to high dimensionality of data, we combine robust machine-learning tools, data-driven feature selection and theory-based brain network priors. The project is carried out in collaboration with the National Institute of Mental Health, using its unique large rich imaging, cognitive and biochemical data of early stage schizophrenia patients. For more information, conditions and application see https://www.cs.cas.cz/job-offer/postdoctoral-junior-scientist-position-Hlinka2-2022/en.
Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics, Prague, Czech Republic
We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic, https://www.cs.cas.cz/. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/. For more information, conditions and application see https://www.cs.cas.cz/job-offer/research-fellow-postdoc-position-Hlinka1-2022/en.
Do not hesitate to contact the group leader / Principal Investigator for informal inquiries: Ing. Mgr. Jaroslav Hlinka, Ph.D. hlinka[at]cs.cas.cz, http://www.cs.cas.cz/hlinka/

Postdoc position available at Brain and More lab
The Brain&More Lab (BAM) is looking for post-docs working on neuroimaging (brain connectivity, machine learning, image analysis).
The current projects include analysis via recurrent neural networks, reservoir computing, and causality. Though, we
are openminded to related topics.
Starting literature:
"Identifying nonlinear dynamical systems via generative recurrent neural networks with
applications to fMRI" Koppe et al. Plos Comp.Bio 2019 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007263
"Structurally constrained effective brain connectivity" Crimi et al. Neuroimage 2021 https://www.sciencedirect.com/science/article/pii/S1053811921005644
If interested apply here (even if countdown expered, position filled when suitable candidate is found):
https://sano.science/job-offers/sano-postdoc-machine-learning-for-neuroimaging/