- Comp-neuro - lists.cnsorg.org

1 PhD position on: New methods for realistic and comfortable experiences in AR

by Agostino Gibaldi

We are inviting applications for one fully funded PhD position (3 years) in the Department of Informatics, Bioengineering, Robotics, and Systems Engineering <https://dibris.unige.it/en>, at the University of Genoa (IT), in collaboration with Magic Leap <https://www.magicleap.com/en-us/>. The research theme focuses on realistic and comfortable experiences in Augmented Reality (more info in the attached call for position). Interested applicants are welcome to reach out for more information about the theme and the position. The official call can be found here: https://unige.it/dottorati-di-ricerca You can apply from June 09 at 03.00 pm (italian time) to July 10 at 12.00 noon (italian time) at this page: https://unige.it/en/students/phd-programmes Best, Agostino Gibaldi, PhD Human Vision Scientist Magic Leap *New methods for realistic and comfortable* *experiences in AR – University of Genoa* *Curriculum: *Industry 4.0 *Hosting Institution: *University of Genoa *Department: *Department of Informatics, Bioengineering, Robotics, and Systems Engineering (DIBRIS) *Tutors:* Silvio P. Sabatini, Andrea Canessa, Gerrit Maus, Agostino Gibaldi *Description:* Optical see-through (OST) augmented reality head-mounted displays (HMD) have emerged as a key asset in several application fields. In OST HMDs the direct view of the world is mostly preserved and there is no perspective conversion in viewpoint and field of view, as with video see-through (VST) systems. This aspect confers a clear advantage over VST solutions, particularly when used to interact with close objects. Although there have been significant improvements to performance and comfort of OST HMDs, limitations associated with human perception still remain to be addressed. In order to provide the user with a realistic, natural and comfortable visual experience, a thorough and accurate knowledge of eye characteristics and HMD geometry must be assumed. These quantities are usually calibrated on a per-device and per-user basis, or modeled from scientific literature. A deviation of the actual values from the expected ones can result in incorrect camera placement, spatial distortions and non-uniformities, thus triggering discomfort in VR/AR. The goal of this research project is to develop methods and techniques to assess and mitigate discomfort and perceptual inconsistencies between real and augmented visual content in OST HMDs. A joint experimental and modeling approach will be followed in order to: 1. investigate methods to evaluate different sources of discomfort/mismatch; 2. develop subjective and objective methods to quantify the originated discomfort; 3. investigate strategies to mitigate the sources of discomfort/mismatch in AR/VR devices. *Requirements:* Applicants are expected to: 1) have a keen interest in Vision Science and in Augmented Reality, 2) have good programming skills in at least one language (Matlab, C/C++, Python, C#), 3) work well in group problem solving situations, 4) have intermediate communication skills (oral and written) in English or better. Experience in Unity 3D is a plus. *References:* [1] Konrad, R., Angelopoulos, A., & Wetzstein, G. (2020). Gaze-contingent ocular parallax rendering for virtual reality. ACM Transactions on Graphics (TOG), 39(2), 1-12 [2] Lambooij, M. T., IJsselsteijn, W. A., & Heynderickx, I. (2007). Visual discomfort in stereoscopic displays: a review. Stereoscopic Displays and Virtual Reality Systems XIV, 6490, 183-195. [3] Gibaldi A., Liu Y., Kaspiris-Rousellis C., Mahadevan M., Vlaskamp B.NS, Maus G.W. Vertical vergence and screen alignment with see-through head-mounted displays. ECVP 2023. *Company name and link (for industrial projects):* Magic Leap Inc. (www.magicleap.com) *Number of positions available: 1* *Main Research Sites* *1.* DIBRIS, via Opera Pia 13, 16145 Genoa, Italy, *2.* Macic Leap Inc., Andreasstrasse 5, 8050 Zürich, Switzerland *Contacts:* Email: silvio.sabatini(a)unige.it, gmaus(a)magicleap.com *Funding Scheme:* This doctorate grant is co-funded by PNRR program DM-117

June 22, 2023

Endowed Professorship "Machine Learning for Clinical Neuroscience"

by Philipp Berens

Dear all, we are currently advertising an Endowed professorship "Machine Learning for Clinical Neuroscience" (https://www.academics.com/jobs/w3-stiftungsprofessur-fuer-maschinelles-lern…) at the University of Tübingen. We are looking for candidates that perform innovative research on the application and development of new machine learning methods in clinical neuroscience, in particular for early detection and prediction of disease progression. This can include work on topics such as explainability, safety and robustness of machine learning methods in clinical settings. It would be great if candidates had worked with multimodal data with clinical relevance (e. g. MRI, fMRI, EEG, electrophysiology, omics data, data from sensors of wearables) as well as cohort data (UKBiobank, NAKO, etc.). Tübingen offers a first-rate environment at the intersection of neuroscience and AI/ML research with the Excellence Cluster for Machine Learning in Science, the Tübingen AI Center, the Max Planck Institutes for Intelligent Systems and Biological Cybernetics, the Hertie Institute for Clinical Brain Research and many other institutions! We are looking forward to your application by July 20th. Best Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

June 22, 2023

[job post] Open PhD positions on neuromorphic perception and control for soft robots

by Chiara Bartolozzi

We are looking for three PhD fellows interested in developing neuromorphic systems for robots. They will team up to look at the different aspects involved in developing neuromorphic circuits and computation for sensing, perception, and actuation for soft biomimetic robots. We will aim at coupling soft materials, sensory transduction, neuromorphic circuits and computation, and soft actuation, towards the design of robots that can seamlessly and gently interact with their environment. Each PhD will have their own multi-disciplinary research goals and will be co-supervised by leading scientists in the complementary disciplines: Neuromorphic distributed intelligence for soft robots – Computation with spiking neural networks for haptic perception and closed loop control of soft robots – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & B. Mazzolai<https://bsr.iit.it/> Neuromorphic distributed intelligence for soft robots – Design of neuromorphic circuits on flexible substrates for sensing and computation – Supervisors: C. Bartolozzi<https://edpr.iit.it/> & L. Beccai<https://sbrp.iit.it/> Online neuromorphic perception and actuation for robots – Italian Institute of Technology – Supervisors: C. Bartolozzi<https://edpr.iit.it/>, S. Soldado-Magraner<https://bri.ucla.edu/people/saray-soldado-magraner/> & E. Donati<https://services.ini.uzh.ch/people/elisa> Location: Italian Institute of Technology, via San Quirico 19D, Genova, Italy https://iit.it Enrolment: DRIM PhD School @ University of Genova https://drim.i-rim.it/en/ Official call (with guidelines for applications): https://unige.it/en/students/phd-programmes PhD themes description: https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an… - checkout Themes 3,4<https://drim.i-rim.it/wp-content/uploads/2023/05/Research-Themes-Hostile-an…>,5 Deadline for application: June 30th

June 22, 2023

CFP - IROS 2023 Workshop on World Models and Predictive Coding in Cognitive Robotics

by nagai.yukie＠mail.u-tokyo.ac.jp

Dear colleagues, **************************** Call for Posters and Participation Workshop on World Models and Predictive Coding in Cognitive Robotics 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023) **************************** We are inviting contributions to our IROS 2023 workshop. We would like to invite workshop attendees to submit an extended abstract explaining their current work related to world models and predictive coding in cognitive robotics. [ Website ] https://world-model.emergent-symbol.systems/ Contact email: taniguchi(a)em.ci.ritsumei.ac.jp (Tadahiro Taniguchi, Ritsumeikan University) [ Important Dates ] Paper submission deadline: 5th August 2023 Notification of acceptance: 19th August 2023 Camera-ready submission: 10th September 2023 Workshop day: 5th October 2023 [ Call for Contributions ] We encourage researchers to submit 1-2 page extended abstracts or a preprint of relevant work. There is no page limitation for the preprint. Accepted abstracts will be posted on the workshop website and will not appear in the official IEEE proceedings. The reviewing process is single-blind and will be carried out by the workshop organizers. Please submit your extended abstract via the Google form: https://forms.gle/Sw7UtX1ihtq4vpgA9 (The URL is also provided on the website) Accepted papers will have the opportunity to present their work/ideas in a poster session. Additionally, a few select submissions will have the chance to give a short talk, while others will give a flash talk. [ Special Issue ] Furthermore, a selected number of papers from the poster sessions will be invited to submit their novel work to the Special Issue proposed in the journal "Advanced Robotics.” [ Awards ] The Best Cognitive Robotics Paper Award, supported by the Technical Committee of Cognitive Robotics, will be awarded to the best paper. The recipient of the award will receive a prize of $300. [ Objectives ] This workshop will explore new frontiers in robotics, focusing on world models, predictive coding, probabilistic generative models, and the free energy principle. The ultimate goal of cognitive and developmental robotics is to create autonomous robots capable of actively exploring their environment, acquiring knowledge, and continuously learning skills. Crucially, to develop robots that learn through interactions with their environment, their learning processes should emulate human cognitive development and learning, which are based on engagement with the physical and social world. This workshop specifically focuses on world models and predictive coding in cognitive robotics. World models have recently garnered significant interest in artificial intelligence, as cognitive systems utilize these models to improve future sensory predictions and optimize their policies or controllers. In neuroscience, predictive coding posits that the brain constantly anticipates its inputs and adjusts its models to manage dynamics and control behavior in its environment. Both concepts may underlie the cognitive development of robots and humans capable of continuous or lifelong learning. The workshop aims to provide a platform for researchers and practitioners in cognitive robotics to exchange ideas and explore new avenues for the development of autonomous cognitive and developmental robots. This enriching experience will contribute to the growth and advancement of the field of cognitive robotics. [ Invited Speakers ] (planned) Tetsuya Ogata (Waseda University, Japan) Pablo Lanillos (Donders Institute for Brain, Cognition, and Behaviour, Netherlands) Giulio Sandini (Italian Institute of Technology, Italy) Takamitsu Matsubara (NAIST, Japan) Beren Millidge (Conjecture, UK) Danijar Hafner (UC Berkeley, United States) [ Organizers ] Tadahiro Taniguchi, Ritsumeikan University Emre Ugur, Bogazici University Masahiro Suzuki, The University of Tokyo Dimitri Ognibene, Università degli Studi di Milano-Bicocca Lorenzo Jamone, Queen Mary University of London Yukie Nagai, The University of Tokyo Tatsuya Matsushima, The University of Tokyo Tetsunari Inamura, Tamagawa University Best regards, Yukie, on behalf of the organizers — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

June 21, 2023

Spanish Return of Talent Programme

by Serafim Rodrigues

Dear All, Please find below a brief summary of the *“Return of Talent Programme”* launched by the FUNDACIÓN RAMÓN ARECES. The deadline for submission of applications is* 15th October 2023.* v *OVERVIEW OF THE CALL* The aim of this call is to promote an innovative programme for the return of scientists already established abroad, so that they can develop a *relevant* *research project (in any scientific area) for a period of five years in a Spanish public research institution*. v *FUNDING CONDITIONS & DURATION* *DURATION:* *5 years* (the initial duration is 1 year, extendable annually for 4 successive additional years after a favorable evaluation by the Foundation's Scientific Council). *Note:** It must start, at the latest, 12 months after the Call results are published.* *FUNDING:* *1 grant** for the amount of 1.250.000 €* - *1st year:* 40 %. - *2nd and 3rd year:* 20% each year. - *4th and 5th year:* 10% each year. v *ELIGIBILITY & REQUIREMENTS* - *Applicant researchers:* ü *Spanish nationality*. ü *Have been residing and working on scientific projects outside Spain for a period of no less than 5 years* at the time of application. *Note:** time spent abroad (“estancias puntuales en el extranjero”) will not be considered as a period of residence, nor will the provision of services as a volunteer or any other form that does not involve financial remuneration.* ü *To have led or lead a scientific project as PI*. ü *Have a proposal from a Spanish public hospital or research center to carry out a research project.* ü Submit, together with the host institution, a significant research project, with its corresponding objectives, chronology and assessment indicators. ü Submit a declaration of intention to continue the professional activity in Spain at the end of the Programme (provided that the minimum conditions for this are met), in a joint declaration with the host institution. - *Host institutions:* ü *Spanish public hospitals or research centres. IMPORTANT NOTE: Please check the eligibility of your institution before applying.* ü Submit, together with the candidate, a five-year research project at the Spanish center with defined objectives, an established chronology and clear indicators for assessing its progress. ü Specify the contributions that the receiving center will make to support the candidate's project (human and material resources). ü To identify which facilities and laboratory will be specifically dedicated to the Programme (with the name). v *FURTHER INFORMATION* - Results to be published *before the end of 2023*. - Please access the following link for further information on the call: https://www.fundacionareces.es/fundacionareces/es/programa-de-retonorno-del… - Applications must be sent online: https://www.fundacionareces.es/areaprivada/areaprivada/index.html#/login If you are interested, please get in touch with us as we are seeking talent in the area of Mathematical, Computational and Experimental Neuroscience. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

June 21, 2023

Postdoctoral position Lyon

by DI VOLO MATTEO

A post-doctoral position is open in computational neurosciences at the Neurobiology of Executive Function lab at the Stem Brain Research Institute in Lyon (https://www.sbri.fr/).The research project aims to understand the neural mechanisms of learning during decision making. The project includes the development of a biophysical model of neuronal networks and neural mass models [1] for decision making and adaptive behaviour. The model will be developed in synergy with data analyses of monkeys electrophysiology data during task performances [2]. The successful candidate will be part of a team with experts in computational/theoretical neurosciences and will benefit from the availability of state of the art recordings at SBRI [2] and, more in general, of the rich neuroscience environment in Lyon. We welcome applicants with diverse scientific backgrounds, including, neuroscience, mathematics, physics, and engineering. We are especially interested in applicants with good programming skills (e.g. Python, C++). If interested, please take contact with Matteo di Volo: matteo.divolo(a)univ.lyon1.fr<mailto:matteo.divolo@univ.lyon1.fr> -- Matteo di Volo Junior Professor Lyon 1 University Stem and Brain Research Institute INSERM https://sbri.fr/public-profile/124/single-member/

June 21, 2023

New PhD position at Charité Berlin

by Roshan Rane

Dear Comp-neuro group, we offer a PhD / PostDoc position (4 years, 100%) at Charité - Universitätsmedizin (Berlin, Germany) in “Machine / Deep Learning in Neuroimaging for Psychiatric Research” in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates. The advertisement is posted at: https://www.linkedin.com/jobs/view/3625491271/ ____________________________________________________ Job opening: PhD / PostDoc Position (100%, 4 years) “Machine / Deep Learning in Neuroimaging for Psychiatric Research” We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en) The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_n…) Salary grade: TV-L E13 (100%) Starting date: August 01, 2023, for ~ 4 years Soft application deadline: June 25th, 2023 The position would remain open until filled. Qualifications: - Master’s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field - Experience with data analysis, visualization, and developing machine learning algorithms - Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub - Some prior experience with publishing research papers and working independently on open research questions - Excellent written and oral communication skills Ideal additional qualifications: - Familiarity with developing explainable deep learning algorithms and benchmarking model performance - Prior experience with psychiatric research - Prior experience with neuroimaging - Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires -Prior experience with publishing open-source research code To apply, please submit: CV with contact information of 2-3 references Short motivation letter (max 1 page) mentioning the skills you can bring to this project Master’s / PhD degree transcript (if available) Please send your application asap to Roshan Rane (roshan.rane(a)bccn-berlin.de <mailto:roshan.rane@charite.de>) and Kerstin Ritter (kerstin.ritter(a)charite.de <mailto:kerstin.ritter@charite.de>). _____________________________________________ Looking forward to your applications! ---- With warm regards, Roshan Rane

June 21, 2023

Call for abstracts: Brain Informatics 2023 in Hoboken New Jersey

by Feng Liu

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR Abstracts The 16th International Conference on Brain Informatics (BI'23) August 1 - 3, 2023 Hoboken & New York – USA The key theme: Brain Science meets Artificial Intelligence Conference homepage: wi-consortium.org/conferences/bi2023/ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** IMPORTANT DATES *** - 30 Jun 2023: Abstract/workshop proposal Submission Deadline *** Confirmed Keynote Speakers *** - Professor Emery N. Brown Member of the National Academy of Sciences Member of the National Academy of Engineering Member of the National Academy of Medicine MIT, Massachusetts General Hospital, USA - Professor Bin He Fellow of International Academy of Medical and Biological Engineering (IAMBE) Fellow of American Institute of Medical and Biological Engineering (AIMBE) Fellow of Biomedical Engineering Society (BMES), and IEEE Member of the National Academy of Inventors Carnegie Mellon University, USA - Professor John Ngai Director of NIH BRAIN Initiative NIH BRAIN Initiative, USA - Professor Helen Mayberg Member of the National Academy of Sciences Member of the National Academy of Medicine Member of the National Academy of Inventors Member of the American Academy of Arts and Sciences Mount Sinai Medical Center, USA - Professor Vinod Goel Author of monographs: “Sketches of thought” and “Reason and Less: Pursuing Food, Sex, and Politics” York University, Canada - Professor Amy Kuceyeski Director of Computational Connectomics (CoCo) at Weill Cornell Medicine Cornell University, USA - Dr. Grace Hwang Program Director, NINDS, NIH *** Local information *** *The location of the BI2023 in the beautiful campus of Stevens Institute of Technology in Hoboken, New Jersey, located on the west bank of Hudson River overlooking Manhattan. Stevens is close to a group of finest universities such as Princeton University (1.5 hours drive), Columbia University (25 min drive), New York University (20 min drive) and Yale University (1h 40 min drive). *Convenient transportation: (1) Nearby there are three major airports: Newark, JFK, and LaGuardia with direct flights to all major cities in the world. (2) 15 minutes to Time Square by bus. *An economic accommodation option: $100 dorm room option is available in the newly completed University Complex Center Building with a view of Manhattan (limited spaces) ***About the conference*** The International Conference on Brain Informatics (BI) series has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The 16th International Conference on Brain Informatics (BI'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. *** Topics and Areas *** The key theme of the conference is "Brain Science meets Artificial Intelligence". The BI'23 solicits high-quality original research and application papers (full paper and abstract presentation submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Abstract Presentation Submission: Submission link: http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20pub… Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 1500 words. Note: The abstract will not be included in the conference proceedings to be published by Springer. Special Issues & Books: Workshop organizers can be invited to contribute a book publication in the Springer-Nature Brain Informatics & Health Book Series ( https://www.springer.com/series/15148) or a special issue at the Brain Informatics Journal. *** Workshop & Special Sessions *** Proposal Submissions: BI'23 will be hosting a series of workshops and special sessions featuring topics relevant to the brain informatics community on the latest research and industry applications. Papers & Presentations: A workshop/special session typically takes a half day (or full day) and includes a mix of regular and invited presentations including regular papers, abstracts, invited papers as well as invited presentations. The paper and abstract submissions to workshops/special sessions will follow the same format as the BI conference papers and abstracts. Proposal Guidelines: Each proposal should include: 1) workshop/special session title; 2) length of the workshop (half/full day); 3) names, main contact, and a short bio of the workshop organizers; 4) brief description of the workshop scope and timeline; 5) prior history of the workshop (if any); 6) potential program committee members and invited speakers; 7) any other relevant information.

June 20, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS - ● Michael Bronstein University of Oxford UK - ● Kathleen Carley Carnegie Mellon University USA - ● Manlio De Domenico University of Padua Italy - ● Danai Koutra University of Michigan USA - ● Romualdo Pastor-Satorras Univ. Politècnica de Catalunya Spain - ● Tao Zhou USTC China TUTORIALS - ● Tiago de Paula Peixoto CEU Vienna Austria - ● Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - ● Papers will be included in the conference proceedings edited by Springer - ● Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: o Applied Network Science edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 19, 2023

Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany

by Jörge Minula

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------------------------------------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d) **starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group ( https://uol.de/stellen?stelle=69636) Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) - Salary: E13 TV-L, 100% ( https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt) How to apply: Follow the description at https://uol.de/stellen?stelle=69636

June 19, 2023