*Apologies for cross-posting*
We have decided to extend the submission deadline of the CogFeel Workshop
from May 26 to June 06.
Workshop information:
Venue: ALIFE 2023, Sapporo, Japan
Submission deadline: June 06
Notification of acceptance: June 13
Workshop date: July 25th, 2023
Title: Cognitive feelings: Towards multi-disciplinary approaches for
realizing artificial systems with cognitive capacities
Website: https://sites.google.com/view/cogfeel-alife-2023/
Workshop organizers:
Jie Mei, International Research Center for Neurointelligence, The
University of Tokyo
Hiroki Kojima, National Center of Neurology and Psychiatry and The
University of Tokyo
Yuichi Yamashita, National Center of Neurology and Psychiatry
Yukie Nagai, International Research Center for Neurointelligence, The
University of Tokyo
Summary:
In recent years, an increasing number of cross-disciplinary approaches have
been proposed to deepen our understanding of living systems and their
interactive, evolutionary, and adaptive aspects. However, we have not fully
achieved the emergence of intelligence and mind in artificial systems. To
facilitate discussions on how cognitive capacities of artificial living
systems could be improved and potentially propose a framework for exploring
the origin, emergence and evolution of perception and emotions, we are
organizing a workshop (CogFeel @ ALIFE 2023:
https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the
2023 Conference on Artificial Life (ALIFE 2023).
We reinforce the role of cognitive feelings (i.e., feelings about one’s
mental processes, encompassing senses of knowing, confidence, reality, and
fluency, etc.) as an integrated component contributing to developmental
individuality and diversity. We also recognize the difficulty in
implementing (subjective) feelings in artificial systems which requires the
differentiation whether these systems possess feelings or just behave as so.
For a comprehensive perspective on how individual- and population-level
diversity in cognitive and behavioral capacities emerges, in this workshop,
we encourage discussions on methods and findings in disciplines including
but not limited to:
- Robotics,
- Computational and behavioral neuroscience,
- Psychology,
- Virtual/augmented reality, and
- Artificial intelligence, etc.
We welcome submissions on topics within the fields of (neuro)robotics,
computational and behavioral neuroscience, psychology, virtual/augmented
reality, and artificial intelligence. We also encourage contributions from
other relevant disciplines. Submissions should be in the form of extended
abstracts (maximum 2 pages) or research articles (maximum 8 pages).
We are planning to organize a special issue in partnership with a top
academic journal where extended versions of selected contributions will be
published.
Please submit your contribution to cogfeelalife2023(a)gmail.com.
We look forward to seeing you at the CogFeel Workshop!
Dear all,
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.
____________________________________________________
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)charite.de) and Kerstin Ritter (kerstin.ritter(a)charite.de)
_____________________________________________
Looking forward to your applications!
Thank you, best wishes,
Kerstin (Ritter)
_______________________________________________
Prof. Dr. rer. nat. Kerstin Ritter (née Hackmack)
Juniorprofessor for Computational Neuroscience
Department for Psychiatry and Psychotherapy
Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin,
Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
Charitéplatz 1, 10117 Berlin, Germany
kerstin.ritter(a)charite.de
