PhD student position: Development of novel modulators for the nicotinic acetylcholine receptor for the treatment of nerve agent poisoning
Heinrich-Heine-University, Gohlke Group Düsseldorf

Applications are invited for a PhD student positions in the Computational Pharmaceutical Chemistry & Molecular Bioinformatics group of Prof. Dr. Holger Gohlke (http://cpclab.uni-duesseldorf.de) at the Heinrich-Heine-University Düsseldorf, Germany.

CPCLAB - Gohlke Group
Our current research focusses on four main areas, for which we develop and apply techniques grounded in computational biophysical chemistry, molecular bioinformatics, and computational pharmaceutical chemistry:
Structure, Function, and Molecular Recognition Investigated by Molecular Dynamics Simulations
Rigidity Theory for Biomolecules
Structure Prediction by Comparative Modeling and Using (Co-)Evolutionary Information
Modulating Biomolecular Interactions
Activities and responsibilities
Nicotinic acetylcholine receptors play an important role in cholinergic neurotransmission. Thus, a malfunction of these receptors can quickly reach life-threatening proportions by paralysis of the respiration. Such a malfunction can be caused by nerve agent poisoning, leading to accumulation of acetylcholine, thereby desensitizing the receptor and causing a non-functional state. Active ingredients for elimination of desensitization of nicotinic acetylcholine receptors therefore are of great importance for the treatment of nerve agent poisoning. As shown in in vivo and in vitro experiments, there are some substances from the group of bispyridinium salts capable of desensitizing nicotinic acetylcholine receptors, or if it occurred already, to bring back receptors to a functional state (i.e., "resensitize"). However, because of their low potency, such substances are currently not suitable for therapy.The goal of the project is to develop active ingredients that have a sufficiently high potency and, in addition, drug-like properties, such that they can be used as antidotes for the treatment of nerve agent poisoning.

The project will be performed in close collaboration with experimentalists at LMU Munich.


The position is available as of now.
Qualification profile
Ideal candidates will have a record of excellence and a strong background in computational biochemistry, molecular informatics, and computationalstructural biology as well as a high interest in working in an interdisciplinary research field, and profound knowledge in state-of-the-art molecular dynamics simulations (Amber) software and molecular modeling.
We offer
cutting-edge research in a variety of areas in biology and computation
a degree from the Heinrich-Heine-University Düsseldorf
excellent supervision
a flexible and challenging curriculum of scientific and transferable skills
the opportunity for travel to present your work

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Research associate to develop innovative computational approaches to analyze genetic interactions.
Gene Editing Group Frankfurt am Main

The Institute of Biochemistry II, Gustav Embden Center of Biochemistry (Director: Prof. Dr. Ivan Dikic), Department of Medicine of the Goethe-University, is looking for a
Research Associate (E13 TV-G-U, 65% / 100%)
PhD student / PostDoc

to work on projects in the field of
Innovative computational approaches to analyze genetic interactions.

The position is to be filled from 01.12.2019 on and initially temporary for 3 years.
Activities and responsibilities
Activities and responsibilities - Based on a recently published technology (https://elifesciences.org/articles/42549), we utilize single and multiplexed CRISPR/Cas gene editing libraries to investigate genetic interactions in the context of genome stability and tumorigenesis. Analyzing the Next Generation Sequencing data sets resulting from multiplexed high-throughput cellular screens requires novel computational approaches. We seek an ambitious and highly motivated new team member who will develop innovative statistical models and computational tools and algorithms to systematically analyze the functional relationships of genetic interactions in these data sets.
Qualification profile
Qualification profile - The ideal candidate holds a Master’s degree (or equivalent) in bioinformatics, biostatistics, informatics, applied mathematics or a similar area and has very good programming skills in Python, R, Java, or similar languages. A high interest in academic research, high-level analytical thinking, and team-oriented personality with good communication skills are mandatory. Prior experience with NGS data and biological network analyses is preferred. Experience in machine learning applications is advantageous but not strictly required. Very good written and spoken English is expected.
We offer
We offer - A versatile workplace in a university research institute consisting of 11 working groups, spread across 3 locations of the Goethe University, tariff-compliant remuneration according to TV-G-U and the possibility of using the LandesTicket for employees of the state of Hesse.

The university advocates equal rights for women and men and therefore urges women to apply. Handicapped candidates are given preferential treatment with equal personal and professional qualifications.
Send application to
Please send your application documents, including your CV, certificates, and an advanced self-written code example preferably in Python, with your earliest starting date to Manuel Kaulich, Institute of Biochemistry II, Department of Medicine, University Hospital of Goethe University, House 75, Theodor-Stern-Kai 7, 60590 Frankfurt am Main. Please send electronic applications in a single PDF to kaulich@em.uni-frankfurt.de.

Travel and application costs cannot be reimbursed.
Please do not send any original documents as the application documents will not be returned.

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Excellence Scholarship & Opportunity Programme / ETH-D Scholarship
Main content
ETH Zurich supports excellent Master's students with two scholarship programmes:

The Excellence Scholarship & Opportunity Programme (ESOP) supports students with a scholarship, mentorship and a network of the ETH Foundation. The scholarship covers the full study and living costs during the Master’s degree course.

The ETH-D Scholarship contains a partial stipend as well as additional offers by the Department (assistantship or additional scholarship).

More info

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Rese­arch Asso­ciate / PhD Stu­dent / Post­doc

Work­ing field:
At the Chair of Pro­ces­sor Design we have the long-term vision of sha­ping the way future elec-tro­nic sys­tems are to be desi­gned.
This pro­ject invol­ves rea­li­sing the app­li­ca­ti­ons desi­gned wit­hin the Natio­nal Instru­ments Lab­View envi­ron­ment onto a par­ti­ally recon­fi­gura­ble FPGA-based plat­form. The dyna­mism of the app­lica-tions (with regards to the dyna­mic Qua­lity of Ser­vice and num­ber of users at run­time) and the depen­den­cies bet­ween the tasks wit­hin the app­li­ca­ti­ons will be ana­ly­sed. The obtai­ned infor-mation will then be used to dyna­mi­cally sche­dule and map the tasks at run­time on the under­ly­ing FPGA-based plat­form. This is to make sure that the chan­ges made for some par­ti­cu­lar app­lica-tions at run­time will not inter­fere with other app­li­ca­ti­ons wit­hin the sys­tem. The whole pro­cess is expec­ted to be auto­ma­ted with as little manual work from the desi­gner as pos­si­ble.

More info

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Computer Scientist - 3D Geometry Processing

We are seeking for talents in Computer Vision in South of France.

At AI Verse, we develop a new technology to train Deep Learning networks and create the next generation of vision-based applications.

AI Verse is an incubating startup born out of world leading academic research from INRIA laboratory. We are based in the European technology valley of Sophia Antipolis located on the French Riviera. The team is led by world class researchers in 3D Geometry processing from the Titane team ( https://team.inria.fr/titane/team/ ) and by seasoned managers with successful previous entrepreneurial experiences.

To work with us, you must have a strong expertise in 3D meshing, analysis of 3D shapes, linear algebra and statistics, as well as excellent C++ and Python programming skills. Being familiar with a 3D modeling and rendering software such as Maya, 3DSMax or Houdini would be a nice-to-have.

We are offering competitive salaries and share options based on the candidate's experience.

Come join one of the most innovative and promising early-stage startups in AI today. Please send a CV to contact@ai-verse.com.


Hope to hear from you soon!

Computer Vision and Machine Learning (CVML) email list www page: https://lists.auth.gr/sympa/info/cvml

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Funded PhD positions in Social Decision Neuroscience at the University of Birmingham, UK

The Social Decision Neuroscience Lab (www.sdn-lab.org), led by Dr. Patricia Lockwood, is looking for PhD students interested in the computational, behavioural and neural basis of social decision-making. The deadline for applications is in January 2020 to start October 2020.

The lab studies questions such as how do people learn which of their actions help themselves and others? how willing are people to put in effort to help themselves and others? and how does social learning and decision-making change across the lifespan and in neurological and psychiatric disorders? We use behavioural paradigms, computational modelling, neuroimaging and patient studies to tackle these questions.

The lab is moving from the University of Oxford, UK, to the Centre for Human Brain Health https://www.birmingham.ac.uk/research/centre-human-brain-health/index.aspx and Institute of Mental Health https://www.birmingham.ac.uk/research/mental-health/index.aspx at the University of Birmingham, UK, in summer 2020.

Funding is available through two competitive schemes and are conducted in collaboration with researchers at the University of Birmingham (Dr. Matthew Apps, Dr. Joe Galea, Dr. Stephane De Brito), University of Oxford (Prof. Matthew Rushworth, Prof. Masud Husain) and University of Zurich (Prof. Christian Ruff).

Eligible candidates (please follow the links below to check) should send their CV and a short statement of research interests by 16th December 2019 to Dr. Lockwood (patricia.lockwood@psy.ox.ac.uk).

https://www.findaphd.com/phds/project/neurobiological-basis-of-social-decision-making/?p115962

https://www.findaphd.com/phds/project/behavioural-and-brain-mechanisms-of-social-decision-making/?p115327

----
Dr Patricia Lockwood, Medical Research Council Fellow
Junior Research Fellow, Christ Church College
Lecturer in Psychology, Corpus Christi College
Wellcome Centre for Integrative Neuroimaging
Department of Experimental Psychology, University of Oxford

Twitter: @thepsychologist
www.patricialockwood.co.uk

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Postdoc position in Toyota Technological Institute, Japan (TTI-J)

Post doctoral Research Fellow in Intelligent Information Media Laboratory,
Toyota Technological Institute, Japan (TTI-J)
https://www.toyota-ti.ac.jp/english/index.html
https://www.toyota-ti.ac.jp/english/employment/2019/09/000321.html

[Job details (duties, subject responsible for, etc.)]
Research on image/video procesing and recognition, and basic techniques for these fields (e.g., deep neural networks, unsupervised learning)

[Address of work location and other information]
Toyota Technological Institute
2-12-1, Hisakata, Tempaku, Nagoya 468-8511, JAPAN

[Starting date]
At the earliest possible date, after the employment contract is completed.

[Employment status]
Full-time（Nontenured）
Yearly contract: renewable up to 3 years if positively evaluated.

[Qualifications]
PhD in a related field

[Compensation]
Salary
JPY 350,000/month, excluding commuting expenses and partial support for housing

Social Insurances
Health Insurance, Pension(The Promotion and Mutual Aid Corporation for Private Schools of Japan), Unemployment Insurance, Worker's Accident Insurance

[Application method (including where to send documents)]
(1) CV, including the applicant's photograph, e-mail contact address, and the possible starting date of employment
(2) List of publications
(3) Summary of research achievements (about one page)
(4) Future plan of research and other activities (about one page)
(5) Name, affiliation, and e-mail address of two contact references

- Candidacy will not be considered unless the full documents are submitted.

- Interested applicants can submit the documents by either email with the subject line "Postdoc for intelligent information media" (PDF format is preferred) or postal mail with "Postdoc for intelligent information media" on the envelope; see the following address.

- The application documents will not be returned.

Professor Norimichi Ukita
Toyota Technological Institute
2-12-1 Hisakata, Tempaku-ku, Nagoya 468-8511, JAPAN
Phone: +81-52-809-1832
e-mail: ukita"AT"toyota-ti.ac.jp
(Please replace *AT* with @)

✔️ @ApplyTime

Postdoctoral Position in Systems/Computational Neuroscience, Drexel University

A postdoctoral fellowship is available to conduct research with Drs. Hualou Liang and Vikas Bhandawat at Drexel University. The position is for a computational neuroscientist. Experience/Interest in performing experiments is a plus but not essential.



The research project is aimed at understanding neural control of movement – how descending neurons and thoracic (equivalent to spinal cord) motor circuits, and sensory feedback control the coordination of a fly’s leg and coordination between legs. Because each leg has many degrees of freedom, and there are 6 legs, the movement space is large. We will employ concepts from dynamical systems, statistical methods as well as machine learning/deep learning to discover latent structure from high-dimensional data, to extract movement states, and to understand how these states are regulated by interactions between behavioral demands (carried by descending inputs), current body configuration (computed by thoracic circuits based on past limb positions), and on-going sensory feedback (through proprioceptors and load feedback).



The successful candidate will have received a Ph.D. in a relevant discipline with substantial experience in Computational Neuroscience. The position will be largely computational, but there is an opportunity to perform a wide variety of experiments, including, in vivo whole-cell patch clamp, in vivo functional imaging, tethered/free behavioral assays in the Bhandawat lab.



The Liang Lab works on problems at the intersection of machine learning and neuroscience, with particular interest in using the tools of artificial intelligence to study brain function and other complex processes. The major thrust of the lab is computational. Our current research uses data science to advance a broad range of topics that include understanding brain function, discovering causal structure from observations, and using deep learning and natural language processing to ease the burden of generic drug review. For current projects, please visit https://liang-lab.org/research/.



The Bhandawat lab studies how animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics, and their environment. We use fruit flies (Drosophila melanogaster) as our model organism because they perform many complex behaviors with a relatively simple brain, and because of the many genetic tools that are available in the flies. We employ a multi-pronged approach which includes in vivo whole-cell patch clamp recordings, imaging, and quantitative measurement of behavior, biomechanics and computation. For more information on research conducted in the Bhandawat lab, please check our website at http://biomed.drexel.edu/labs/bhandawat/

To be considered for this position please send a CV and a letter describing research interest to Hualou Liang (hualou.liang@drexel.edu) and Vikas Bhandawat (vikas.bhandawat@drexel.edu).

Start date: Immediately

Funding mechanism: funded by a NIH grant.



Hualou Liang, PhD

Professor

School of Biomedical Engineering

Drexel University

✔️ @ApplyTime

Postdoctoral fellow (f/m/x) for the Molecular Pathology, Institute of Pathology and Department of Translational Genomics
Universitätsklinikum Köln (AöR) Köln

The University of Cologne offers a wide range of scientific disciplines and internationally leading profile areas organized in six faculties. At the Faculty of Medicine 1.800 scientists are engaged in research, ranging from basic sciences to clinical application, as well as teaching and health care. Together with the University Hospital Cologne the faculty maintains 58 clinics, research institutes and centres. 3.400 students study in this dynamic and innovative environment. The Faculty of Medicine and the University Hospital Cologne are embedded in the scientifically highly active Rhine region. They have strong contacts to and alliances with the surrounding universities and non-university research institutions guaranteeing scientific excellence in research and teaching.

The research group of Prof. Dr. med. Martin Sos (Molecular Pathology, Institute of Pathology and Department of Translational Genomics) is seeking applications for a full-time

Postdoctoral fellow (f/m/x)
within the CRC1399 “Mechanisms of Drug Sensitivity and Resistance in Small Cell Lung Cancer”. This position is available immediately for 24 months (Third-party funding according to WissZeitVG) with a possibility of extension.

The main goal of our research efforts is to provide breakthrough medicine for cancer patients; our projects are centered on the functional understanding of molecular processes that modulate the response to cancer therapies. We employ state-of-the-art gain/loss-of-function experiments, genome and trannoscriptome sequencing as well as animal experiments to capture the cellular networks that modulate these processes. We combine cutting-edge computational biology methods with innovative molecular cell biology methods in order to make an impact on the development of novel cancer therapies.

Your profile:

Doctoral degree in a relevant field (e. g. biology, medicine, bioinformatics)
Profound knowledge of cancer cell biology
Prior research experience, documented by peer-reviewed publications in a relevant field
High degree of excitement and the ability to drive projects independently
Team spirit as well as excellent communication skills
We offer:

A multidisciplinary and innovative research environment
Intensive mentoring and support for your scientific career
Multiple interactions with global leaders, both from academia and industry
Participation in numerous seminars within the field of translational cancer biology
Our salary will be based on TV-L.

Suitably qualified women will be given preferential consideration unless other applicants clearly demonstrate superior qualifications. We also welcome applications from disabled candidates, who will also be given preferential consideration over other applicants with comparable qualifications. The position is suitable for staffing with part-time employees.

Please address telephone enquiries to Dr. Katia Garbert at +49 221 478-89848.

Further information is available here.

Have we awakened your interest? Please submit your application (including a detailed CV, list of publications, two references and a brief statement of research interests) here online www.uk-koeln.de/karriere/stellenangebote.

We prefer online applications, but you also have the opportunity to apply via regular mail quoting the reference number V000001537 to

Uniklinik Köln
Geschäftsbereich Personal
Bewerbugsmanagement
Ausschreibungsnummer V000001537
50924 Köln

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Research Associate / PhD Student
Technische Universität Dresden Dresden

At the TU Dresden, Faculty of Mechanical Science and Engineering, the Institute of Power Engineering, Chair of Imaging Techniques in Energy and Process Engineering offers, subject to resources being available, a position as
Research Associate / PhD Student
(Subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting 01.01.2020. The position is limited for 3 years. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz-WissZeitVG). Balancing family and career is an important issue. The post is basically suitable for candidates seeking part-time employment. The position offers the chance to obtain further academic qualification (e.g. PhD).
Activities and responsibilities
Development of a method for the measurement of axial and radial dispersion coefficients in multiphase contactors with the flow modulation technique. In detail, it comprises the following sub-tasks: familiarization with hydrodynamic modelling of reactors and contactors and measurement of characteristic parameters with methods using ionizing radiation and other signal carriers; uncertainty quantification for these measurement techniques based on given application scenarios; experimental qualification of the method of flow modulation for bubble columns and trickle bed reactors; further development of mathematical models for parameter estimation.
Qualification profile
excellent university degree (Diplom, Master), preferably in process engineering, energy engineering, mechanical engineering, electrical engineering, applied mathematics or physics; profound and readily available mathematics and physics knowledge; further knowledge in at least one of the fields: measurement techniques, system theory, frequency space analysis, mass transfer, process engineering; self-reliant scientific work within an interdisciplinary team; practical skills with respect to experimental work; active communication with scientific partners; profound English language skills.
Send application to
Applications from women are particularly welcome. The same applies to people with disabilities.
Please submit your comprehensive application including the usual documents by 04.12.2019 (stamped arrival date of the university central mail service applies) preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf document to uwe.hampel@tu-dresden.de or by mail to: TU Dresden, Fakultät Maschinenwesen, Institut für Energietechnik, Professur für Bildgebende Messverfahren für die Energie- und Verfahrenstechnik, Herrn Prof. Dr.-Ing. habil. Uwe Hampel, Helmholtzstr. 10, 01069 Dresden. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https: //tu-dresden.de/karriere/datenschutzhinweis

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4 year Post-doc position, entrepreneurship, scaling and medical technologies
Deadline: 01.12.2019

Do you want to study challenges to innovative medical technologies and healthcare services that are aiming to spread and scale their innovations across Norway and to international markets?

Entrepreneurs with proven new technologies and healthcare services that serve a broad range of patient needs, are faced with a variety of challenges when seeking to expand and accelerate their businesses and activities across the Norwegian healthcare system and to international markets. We have recently seen an increased number of public sector initiatives as well as entrepreneurial startups in these domains with interesting high potential solutions, and there is a particular need to generate more systematic knowledge about the problems of adaptation, spreading and scaling of such new technologies and services. The research must aim at publishing new and interesting insights at international research frontiers in high ranked journals.

More info

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Open Postdoc position at Inria SequeL, Lille (France)

Hello,

We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2020.

https://team.inria.fr/sequel/

Best,
Odalric-ambrym Maillard

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Postdoctoral position in Artificial Intelligence

The Fondation Mathématique Jacques Hadamard (FMJH) and the Labex Mathématique Hadamard (LMH) offer one or two-year funding for talented students wishing to pursue a post-doctoral stay in one of the mathematics laboratories affiliated to the Foundation and Labex for the program “Mathematics in Artificial Intelligence” : CMAP et CMLS (Ecole Polytechnique) / CMLA (ENS Paris-Saclay) / Fédération de Mathématiques(Centrale-Supelec) / IPhT (CEA-Saclay) / LTCI (IMT) / LAG (IHES) / LaMME (UEVE) / LMO (Université Paris Sud) / LMV (UVSQ) / MaIAGE (INRA) / Mia Paris / UMA (ENSTA).

This program aims to develop mathematics at interfaces with artificial intelligence (in a broad sense) within the Paris-Saclay University, particularly in the following fields:

· Algebra (coding, cryptography, ...)

· Harmonic analysis (wavelets, ...)

· Mathematical logic (verification, proof, ...)

· Probabilities (information theory, stochastics, ...)

· Optimization

· Statistics (statistical learning, "data science", ...)

The salary is about 25,000 € net per year.

For further information on the LMH programs and the Fellowship.

To apply. Deadline: 1st december 2019.

Start of the contract: October 2020.

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Postdoctoral position in Machine Learning and Clinical Informatics

Applications are invited for a postdoctoral research position in San Diego, CA, focused on application of Machine Learning/Deep Learning/Predictive Analytics in Medicine. Applicants must show an exceptional research track record, and hold a Ph.D. degree in Electrical Engineering, Computer Science, Statistics, or related fields. Applicants should have a solid background in cross-disciplinary application of signal processing and machine learning to clinical and neurophysiological signals and systems. To apply, please use the 'contact us' link (http://nematilab.info/openings.html), and briefly describe your research interests. This position is open to US Citizens and we encourage talented individuals from a diverse background to apply.
Keywords: postdoctoral, post-doctoral, postdoc, fellowship, Machine Learning, Deep Learning, Clinical Informatics

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ML PhD openings at UC-San Diego

My group (pengtaoxie.github.io) at the University of California San Diego is looking for PhD candidates in the area of machine learning. All the accepted PhD students are fully-funded. We encourage applications from outstanding candidates who are highly motivated and strongly interested in conducting fundamental research in machine learning and its applications in healthcare. We work on the models, algorithms, and theories of sample-efficient learning, interpretable learning, deep generative models, etc. and their applications in healthcare and medicine.

For further information, please refer to this page pengtaoxie.github.io

Applicants should have (or be expected to have) a degree in Computer Science, Electrical Engineering, Statistics, and other related fields. Practical experience (research projects, publications, industrial internships) in machine learning is strongly preferred.

If interested, feel free to contact me directly via pengtaoxie2008@gmail.com and mention in the personal statement that you are interested in working with me.

Application deadline: December 11th, 2019.

Application website: http://www.ece.ucsd.edu/index.php/graduate/graduate-admissions


Best,
Pengtao

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Neuroscience postdoc at the University of Leicester, UK

Dear all,

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans, performed in epileptic patients for curative surgery.

The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn

The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators.

Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn@le.ac.uk or 0116 252 3249.

To apply, please use this link: https://jobs.le.ac.uk/vacancies/vacancy-details.aspx?VacancyID=1393

The applications should include a curriculum vitae and a brief denoscription of their scientific interests

The closing date for the applications is 3rd December 2019.


Cheers,

Rodrigo

Rodrigo Quian Quiroga
Centre for Systems Neuroscience
University of Leicester
www.le.ac.uk/csn

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Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application at CEA, Grenoble and Paris-Saclay, France

The post-doctoral fellowship will be carried out within the frame of the multidisciplinary project “Brain Computer Interface” (BCI) at CEA-LETI-CLINATEC, Grenoble, France, in collaboration with the Data Intelligence Service from CEA-LIST (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses.

The project is based on the recording of neuronal activity at the level of cerebral motor cortex (ElectroCorticoGrams, ECoG) with innovative wireless WIMAGINE® implant dedicated to the long term clinical use. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® includes several tetraplegic subjects and is in progress. In this general frame, the project of partners CEA-LETI-CLINATEC and CEA-LIST “Enabling out-of-laboratory neuroprosthetics for severely motor-impaired patients using artificial intelligence”, is supported by Programme Transversal de Compétences « Simulation Numérique » of CEA.

The particular objective of the project is moving toward neuroprosthetics out-of-the-lab applications. This goal entails solving major challenges: increase number of Degrees of Freedom (DoF), improving accuracy and robustness of neural signal decoding to ensure usability of neuroprosthetics for real life tasks from one side, and providing a BCI system for constrained execution environments offered by portable devices from another side. One direction to improve decoding performances is to use recent advances in artificial neural networks. To ensure that the decoding algorithm is compatible with constrained environments, including the restrained CPU and memory costs such that real-time signal processing and decoding remains feasible, various strategies could be investigated.

Missions of post-doctoral fellow will include:

­ The experiment design and set up for real life tasks of using of neuroprosthesis by tetraplegic subject;

­ Design of innovative ANN decoding algorithms, the test and the comparison to conventional methods;

­ Optimization and implementation for real time application, integration to the Clinatec BCI platform;

A unique clinical trial ECoG database supports the project.

Initial contract duration is 12 months with possible prolongation (24 months at max), initial 12 months in CEA / DRT / LETI / CLINATEC, Grenoble and the next ones in CEA / DRT / List / DM2I / SID / LI3A, Saclay.

Profile of candidate: PhD or equivalent with strong knowledge in Machine learning, Deep learning, real time Signal processing (high dimensional data flow), with strong skills in Python, matlab.

Application: The candidates should send a CV, the names of 2 referees, and a cover letter to Dr. Tetiana AKSENOVA, tetiana.aksenova@cea.fr, Dr. Cedric GOUY-PAILLER, cedric.gouy-pailler@cea.fr, and Dr. Pierre BLANCHART, pierre.blanchart@cea.fr. The selected candidates will be interviewed for an expected start in March 2019.

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Postdoc position at Brown University School of Engineering

Brown Engineering is recruiting exceptionally talented researchers who have received their Ph.D. degree in engineering, or an engineering-related discipline, or who expect to do so by July 2020, and who aspire to create independent research and pursue careers as leaders of innovation.

While we will consider applications in all areas of our engineering programs, preference will be given for the 20-21 academic year in the fields of Electrical and Computer Engineering. This includes research in computer vision, machine learning, and robotics.

Successful candidates will be selected based on an evaluation of their promise as future academic leaders. They will be expected to carry out independent and collaborative research with engineering faculty members. They will also be expected to teach one course per year in the School, to help connect innovations in the research environment to concepts taught in courses, and to ensure they develop strong teaching skills prior to launching their faculty careers. Please see https://www.brown.edu/academics/engineering/employment/hibbitt-engineering-fellows-program for more information. If you are interested specifically in research in robotics, please contact Prof. Iris Bahar at iris_bahar@brown.edu for more information.

The Hibbitt Engineering Fellows will receive an annual salary plus benefits and an additional research and travel stipend. Anticipated start date for these full-time positions is in July 2020. Initial appointment is for one year, with expected renewal for second year given satisfactory progress.

Candidates must submit an application, CV, statement of research accomplishments, prospective research project summary, and three letters of reference. Prospective Fellows should also identify a Brown Engineering faculty member or a collaborating group of Engineering faculty to serve as mentor of the proposed research project. Please consult our research website: http://www.brown.edu/academics/engineering/research for detailed information.


--
R. Iris Bahar
Professor of Engineering & Computer Science
School of Engineering
Computer Science Department
Brown University
office: CIT 449
phone: 401-863-1430
website: http://vivo.brown.edu/display/rbahar

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Post-doctoral position in skin image processing at Vanderbilt University / Nashville TN USA

Dear CVML list members,

Please circulate the attached flyer for a post-doctoral position in medical image processing.

The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking motivated post-doctoral and other academically bound candidates to develop their translational research career in imaging of cutaneous manifestations of cancer and its treatments. Trainees in this well-funded program will enjoy a competitive salary, benefits, and ample resources to advance their career and research. Initial appointment will be for one year with annual renewal options. Multimodal dermatologic imaging techniques including 3D photography, hyperspectral imaging, and confocal microscopy, coupled to image analysis techniques including deep learning neural networks, will be applied in ongoing multicenter clinical trials and basic science.

Candidates will benefit from a personalized research program catered to their goals utilizing resources and mentoring within the Vanderbilt-Ingram Cancer Center (Madan Jagasia), Dermatology (Eric Tkaczyk), Computer Science (Benoit Dawant) and the Biophotonics Center within Biomedical Engineering (Anita Mahadevan-Jansen). This environment brings together clinicians, basic scientists, engineers and statisticians in close collaboration due to its interdisciplinary research and close physical proximity of the School of Medicine to the School of Engineering (100-200 yards). Example publication: https://www.nature.com/articles/s41409-018-0211-8

Application and contact:

Interested applicants are requested to mail their CV, a one-page personal statement, and two letters of recommendation with reference phone numbers and email addresses to:

VCICrecruit@gmail.com

Eric Tkaczyk, MD, PhD, FAAD

Director, Vanderbilt Dermatology Translational Research Clinic (VDTRC.org)

Assistant Professor, Dermatology, VUMC

Assistant Professor, Biomedical Engineering, Vanderbilt University

✔️ @ApplyTime

Open Postdoc position at Inria SequeL, Lille (France)

Hello,

We are opening a postdoc position at Inria SequeL (France), under super-vision by OA Maillard. The topic is on adressing novel challenges in Reinforcement Learning theory. These challenges are inspired by an application of sequential decision making to biodiversity-preserving agriculture; the goal is to advance theory (regret minimization guarantees, etc) to answer some of these challenges, hence we expect an applicant with strong record of publications on basic research. Please contact O-A. Maillard with 3 of your main publications, CV, motivation letter and recommendation lette before March 2019.

https://team.inria.fr/sequel/

Best,
Odalric-ambrym Maillard

✔️ @ApplyTime

PhD funding opportunities in Motivation and Decision neuroscience at the University of Birmingham, UK

The Motivation and Social Neuroscience lab (MSN; www.msn-lab.com) is looking for motivated and enthusiastic PhD candidates, interested in the neural mechanisms underlying motivation and decision-making, to start in October 2020.

We aim to address questions such as: Why does the brain find things effortful? Why do we experience fatigue? how do they impact motivation and decisions? and how do people make decisions during social interactions? MSN is funded by a £1.25m BBSRC David Phillips Fellowship, and is moving from Oxford University to the brand new, £25m Centre for Human Brain Health at the University of Birmingham in summer 2020.

Funding for projects is available through two competitive schemes (links below), using a range of techniques including pharmacology, fMRI, and MEG in healthy people, as well as testing in clinical populations (Parkinson’s Disease). Projects will be conducted in collaboration with Prof. Ole Jensen, Dr. Joe Galea and Dr. Patricia Lockwood

Eligible*, interested candidates should get in contact with Dr. Apps (matthew.apps@psy.ox.ac.uk) with a copy of their CV before the deadline and applying.

https://www.findaphd.com/phds/project/neural-computational-and-psychological-basis-of-motivation-and-decision-making-in-health-and-disease/?p115328

https://www.findaphd.com/phds/project/neurobiological-basis-of-social-decision-making/?p115962

*Please note each scheme has different deadlines and eligibility criteria


--
Matthew Apps, PhD.
BBSRC Fellow &
University Research Lecturer


✔️ @ApplyTime