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

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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

Applications are invited for a 3-4 year PhD fellowship available at the Department of Psychology, University of Oslo.

The position is open for candidates with a Master’s degree in Psychology, Cognitive Neuroscience, or other relevant areas.

The successful applicant will join the MICC-Lab, led by Prof. René Huster, which is part of the Section for Cognitive and Clinical Neuroscience.

The MICC-Lab studies the neural foundations of cognitive control, with a focus on action cancellation, usually by means of multimodal measurements (using EEG, MRI, EMG, pupillometry etc. in various combinations). The lab further applies methods for the neuromodulation of cognitive processes (e.g., transcranial stimulation or brain-computer interfaces).

More info

✔️ @ApplyTime

PhD Research Fellows In Popular Music

JOB DESCRIPTION

About the positions
The University of Agder, Faculty of Fine Arts, invites applications for up to 6 positions as PhD Research Fellow in Popular Music at the Department of Popular Music for a period of three years, or four years with 25% required duties. At present, the position is located at Campus Kristiansand. Starting date by appointment.

The Faculty of Fine Arts is comprised of 3 departments; The Department of Popular Music, The Department of Classical Music and Music Education, and The Department of Visual Arts and Drama. The Faculty has approximately 550 students and 90 members of staff employed in academic positions. The Faculty of Fine Arts. The Faculty offers several Master’s- and bachelor’s programmes within fine arts, among them a Master’s in Electronic Music. The PhD programme has two specialisations, one within Popular Music Performance and one within “Art in context”.

More info

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A fixed-term 100% position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow, affiliated to the Department of Information and Communication Technology, for a period of 3 years. The position is located at Campus Grimstad. The starting date is as soon as possible or to be negotiated with the Faculty.

The Department of ICT has three large and active research groups in Information and Communication Technology including 8 Professors, 20 Associate Professors/Assistant professors and about 20 Research Fellows on the PhD programme in ICT. The Department of ICT pursues a variety of research interests, focusing especially on ICT and crisis management, artificial intelligence, eLearning and eHealth. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020 as well as national and international industries.

More info

✔️ @ApplyTime

Multiple Postdoc positions in Neuroscience, Computational neuroscience or optical physics in the Scott Lab at the University of Queensland, Australia

The Scott Lab at the Queensland Brain Institute within the University of Queensland, Brisbane, Australia is looking for multiple postdocs.

The Laboratory for Neural Circuits and Behaviour (led by Assoc. Prof. Ethan Scott) uses a very broad experimental platform, ranging from optical physics to mathematics, to discover and describe brain function and behaviour. This work hinges on brain-wide cellular-resolution calcium imaging in the zebrafish model system, complemented by anatomical denoscriptions, targeted optogenetic manipulations, mathematical modelling, and behavioural analysis. Our goals are both basic (the elucidation of sensory pathways) and translational (the circuit-level modelling of autism endophenotypes), and we welcome new members with either focus. This work is challenging and rewarding, and best suited to researchers who value broad, interdisciplinary approaches to big questions in neuroscience. Culturally, our lab values diversity in all of its forms, and cultivates a mutually supportive and collaborative atmosphere

The primary purpose of this opportunity will be to design, conduct and analyse experiments and research to understand functional neural circuitry in the zebrafish model system. Optical physicists, neuroscientists, and mathematicians welcome!

A PhD in engineering, physics, neuroscience, mathematics, or relevant related fields is essential to the role. A strong track record in optical physics/engineering, neuroscience, calcium imaging, image analysis or the mathematical modelling of complex systems will be integral to success in the position.
These positions are for three years with possibility of extensions

Questions can be adressed to Assoc. Prof. Ethan Scott (ethan.scott@uq.edu.au).

Applications should be done through


Kind regards,
Gilles Vanwalleghem, PhD
Scott Lab
Queensland Brain Institute
The University of Queensland
Brisbane, Australia

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University of Sussex funded PhD positions: Leverhulme Doctoral Scholarship Programme, “From Sensation and Perception to Awareness”


Dear colleagues,



We are inviting applications for our Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020. Could you please kindly distribute to interested students.



Thank you



Best wishes

Miguel Maravall

✔️ @ApplyTime

PhD position in computational neuroscience/brain physics in Oslo Norway

PhD-position in Computational Neuroscience/Brain Physics in Oslo, Norway
Applications are invited for a position as PhD Research Fellow available at the Department of Biosciences in the research group of Professors Gaute Einevoll and Marianne Fyhn at CINPLA. The position is funded by the UiO:Life Science Initiative, Convergence Environments to the project ”MultiModal Mental Models: converging approaches from genomes to mental illness and interplay with psychosocial stressors (4MENT)”.

The successful candidate will work on model-based exploration of cortical neuron and neural network models, in particular effects of genetic variants on neural functions. The modeling work will be carried out in collaboration with statistical geneticists as well as researchers working with stem cells and brain imaging. The goal of the project is to build models for mental phenotypes that are relevant in schizophrenia and bipolar disorder.

The candidate will work in the cross-disciplinary environment Center for Integrative Neuroplasticity (cinpla.org), a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources.

The fellowships will be for a period of 3 years, with no compulsory work, or for a period of 4 years, with 25 % compulsory work at the UiO:LifeScience. Anticipated start date is Winter/Spring 2020. The research fellow must take part in the Faculty’s appproved PhD program and is expected to complete the project within the set fellowship period.

Requirements:

Master’s degree in physics, mathematics, or computer science. The Master thesis should preferably have been done within computational neuroscience, but also candidates with master projects in other branches of computational science may be considered.
Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
The candidate must have demonstrated strong skills in developing codes for scientific computing.
A good command of English is required.

For more information, including on how to apply, see


Deadline for application: December 18th 2019

For questions, please contact professor Gaute T. Einevoll, gaute.einevoll@fys.uio.no.

**********************************************

Professor Gaute T. Einevoll

Faculty of Science and Technology

Norwegian University of Life Sciences, 1432 Aas, Norway;

Department of Physics, University of Oslo, Oslo, Norway

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Postdoc position at the SimLab Neuroscience, Juelich, Germany

Dear colleagues,

We have a postdoc position available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing an HPC-amenable neuronal simulator and engaging with the neuroscience community.

For a full denoscription and details of how to apply, please see the announcement on our website:


Best regards,
Boris Orth

✔️ @ApplyTime

PostDoc position in conversational search at The University of Queensland

We are seeking a Postdoctoral Research Fellow that will contribute to innovative research developments within the scope of conversational search. The project the postdoc will be assigned to aims to identify how conversational agents might help answer grain growers and farmers’ questions and make better farming decisions.

The position is part of a newly funded research project that involves researchers at the University of Queensland, the CSIRO, and the Queensland Government Department of Agriculture and Fisheries.
The postdoc will be part of the ielab team (http://ielab.io), in the School of Information Technology and Electrical Engineering (UQ).

This position is located at our St Lucia campus, renowned as one of Australia’s most attractive university campuses, and located just 7km from Brisbane’s city centre. Bounded by the Brisbane River on three sides, and with outstanding public transport connections, our 114-hectare site provides a perfect work environment – you can enjoy the best of both worlds: a vibrant campus with the tradition of an established university.


Details About the Project
Valuable grains R&D output is currently locked away into project reports, communications and scientific publications. This text-based information is not easily discoverable and synthesised. Thus growers are not able to put into practice these valuable insights. This project will develop a conversational agent (AskAg) that will provide personalised access to this valuable information leading directly to better, data-driven growing decisions. Through question-answering systems, AgAsk will elicit and understand growers information needs and preferences, providing contextualised access to insights in Ag R&D.
AgAsk will use state-of-the-art IR, NLP and ML technology to interpret natural language questions. Ag R&D resources will be mined from textual information and converted into a knowledge graph capturing key agricultural concepts and relations (e.g. protozoa --effective_for--> control of pest molluscs). AgAsk will use this knowledge graph to formulate contextualised and interpretable answers to a growers question (e.g. via abstractive summarisation and answer generation).


Our Ideal Candidate
Successful applicants should possess a PhD in the field of Information Retrieval, Natural Language Processing, or Machine Learning on Textual Data.
You should have demonstrated expert knowledge in relevant empirical research methods, including Knowledge Graph creation, question answering, answer generation and ranking, abstractive summarisation, interactive information retrieval, intent understanding, user-based evaluation (evaluation of IR systems with users). Research experience with conversational search and conversational agents, domain-specific search, and task-based retrieval will be beneficial and highly regarded.
You would have a demonstrated publication record in quality research outlets in relevant fields; examples include ACM SIGIR, ACM WSDM, The Web Conf, ACL, NAACL-HLT, EMNLP, AAAI, ACM TOIS, ACM TIST, TACL.
You would also have showcased ability to successfully work in a research team to deliver outputs to industry and outstanding effective communication and interpersonal skills.


What We Can Offer
This is a full-time, fixed term appointment for 2 years at Academic level A. The remuneration package will be in the range $84,878 - $90,982p.a, plus employer superannuation contributions of up to 17% (total package will be in the range $99,307 - $106,449p.a.)

You will be able to take advantage of UQ Sport Facilities, salary sacrificing options, on-campus childcare, discounted private health insurance, cheap parking, development programs and many other benefits.


How do I apply?

For more information and to express your interest in this position, please contact Dr Guido Zuccon at g.zuccon@uq.edu.au ASAP.


Dr Guido Zuccon
Senior Lecturer & ARC DECRA Fellow
School of Information Technology and Electrical Engineering

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Up to 3 fully-funded PhD Positions for Machine Learning for Robot Manipulation funded by Bosch @ University of Tübingen, Germany

Dear all,



At the BCAI at Bosch, we are building a new group for machine learning for robot manipulation. The group is located at the University of Tübingen and led by Prof. Gerhard Neumann. The BCAI is a leading lab in machine learning and artificial intelligence which regularly publishes at top venues such as NIPS and ICML. Our aspiration for the new group is to become one of the leading robotics groups in world. We aim to make robot manipulation useable in the real world, such as cluttered unknown environments consisting of unknown, possibly deformable objects where fine and forceful manipulations need to be applied to the scene such as object assembly. Our research will be focused on the development of new learning algorithms that are useable in these scenarios.

We are looking for new PhD students in the following areas:

* Deep learning methods for robot vision and robot control
* Model-based and model-free deep reinforcement learning
* Imitation learning and inverse reinforcement learning
* Hierarchical reinforcement learning
* Uncertainty quantification in deep learning models
* Learning from human feedback
* Information-theoretic learning methods
* Efficient robot movement representations
* Skill libraries and hierarchical skill learning
* Teleoperation and shared control for user guidance
Your profile:

* Personality: highly motivated to work on these challenging topics and develop a personal research agenda
* Working Practice: team-oriented, open-minded and inquisitive
* Experience and Knowledge: excellent skills in Python, ROS, C++ or Matlab and excellent math skills, knowledge in the areas of machine learning and robotics is preferential
* Languages: very good in English (written and spoken)
* Education: excellent degree (Master) in computer science, electrical engineering, mechanical engineering, math or related fields with excellent marks.

For questions concerning the positions, please contact Gerhard Neumann (Gerhard.Neumann@de.bosch.com).

Please apply at: https://smrtr.io/3CQXQ



Mit freundlichen Grüßen / Best regards

Gerhard Neumann

Information Theoretic Reinforcement Learning (CR/PJ-AI-R33)
Gerhard.Neumann@de.bosch.com

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Fully funded Ph.D. student position of the Research Training Group "3D Tissue Models for Studying Microbial Infections by Human Pathogens" (RTG 2157)
Universität Würzburg, Lehrstuhl für Mikrobiologie Würzburg

The Research Training Group (RTG 2157), started in April 2016, integrates the long-standing expertise in infectious diseases at the University of Würzburg and new technologies into an exciting new focus on 3D human tissue models. Within this program, scientists from the Biocenter of the University of Würzburg, the Research Center for Infectious Diseases, and the Chair of Tissue Engineering and Regenerative Medicine of the University Hospital and Fraunhofer ISC, Unit Würzburg, take a novel route to investigate microbial infections under close-to-natural conditions.


The training group offers an excellent infrastructure for training and research by internationally recognized scientists with state-of-the-art technologies. The program is complemented by seminars, courses, hands-on workshops, writing and presentation training as well as practical career development opportunities.
Activities and responsibilities
The RTG 2157 offers a unique opportunity within a collaborative framework of experts to establish and exploit human infection models for the in-depth investigation of mechanisms underlying host-human pathogen interactions. In particular, the interdisciplinary synergistic cooperation between engineers with life and medical scientists in the RTG 2157, which is the basis of this highly innovative research program, will pave the way for the successful use of the new models for studying infections by major human pathogens.
Qualification profile
We are seeking highly qualified students holding a M.Sc. or equivalent degree with a background in one or several of the following fields: Microbiology, Cell / Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics.
We offer
We offer
Widely visible international research environment
Interdisciplinary and structured Ph.D. program
Intensive support
Send application to
GRK Coordinator

Meike Scheuring
Chair of Microbiology
Biocenter
University of Würzburg
Am Hubland
D-97074 Würzburg
Tel.: 0931 31 86343
Fax: 0931 31 84402

Email: meike.scheuring@uni-wuerzburg.de
Web: www.uni-wuerzburg.de/grk2157

✔️ @ApplyTime

PhD positions in Medical Imaging in Berlin
Charité - Universitätsmedizin Berlin

8 PhD positions (TVöD E13, 65%) are available at Charité, starting April 1st 2020. These will be part of the Research Training Group (Graduiertenkolleg) on ‘Biophysical and Quantitative Imaging towards Clinical Diagnosis’ (BIOQIC). BIOQIC's management office is located at the Berlin university hospital (Charité). It comprises a collaborative venture of Charité, Berlin universities (Technical University and Free University), and research institutions (Physikalisch-Technische Bundesanstalt Berlin, Leibniz-Forschungsinstitut für Molekulare Pharmakologie Berlin-Buch). There will be 15 PhD projects in total; 7 additional PhD positions will be located at the Berlin Universities TU and FU, and the above mentioned Berlin research institutions. All PhD positions will be available for a period of 3 years in total.
Activities and responsibilities
BIOQIC is centered on clinical imaging technologies such as MRI, ultrasound, PET/SPECT and CT, with a focus on objective and quantitative measurements. BIOQIC offers collaborative supervision from basic scientists and clinicians, embedded in one of the most dense and innovative academic regions in Europe, including the top-rated teaching hospital Charité with one of Europe's largest radiological departments. More information about us, and what we do, can be found on our website https://www.bioqic.de/.

Themes:

Cardiovascular Imaging
MR
MRE
CT
Ultrasound
PET
SPECT

Machine Learning/ Automated Analysis
Reconstruction
Motion Correction
Inverse Problems
Image Analysis
Cardiovascular Disease and Tumor Classification

Biophysical Foundations of Imaging
Multiscale Imaging
Multiscale Analysis & Modeling
Micromechanics
Microstructure Analysis
Modeling
Qualification profile
We are looking for highly motivated, inquisitive, enthusiastic, and result-oriented PhD candidates with an excellent academic record and prior research experience. Candidates should ideally hold Master’s degrees in Physics, Engineering, Mathematics, Chemistry, Biology, Medicine, or related disciplines, relevant for the development of innovative medical imaging technologies.

Please send your application in English, no later than December-15-2019 (11:59 p. m. CET), as a single electronic document (preferably in PDF format) to bioqic@charite.de.

Please include:

• the filled BIOQIC application form from our website:
https://bioqic.de/wp-content/uploads/2019/11/BIOQIC_application_form_NOV2019.doc
• a complete and up-to-date curriculum vitae
• names and contact details of at least 2 references
• Bachelor’s and Master’s trannoscripts.
We offer
BIOQIC places particular emphasis on gender equality and fosters and encourages female researchers.
Send application to
bioqic@charite.de

Dr. Judith Bergs, BIOQIC Coordinator

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Postdoctoral position in Machine Learning and Clinical Informatics @UC San Diego (UCSD)

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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Open Position as Research Fellow - EURA, DIRPOLIS Institute, Sant'Anna School of Advanced Studies - Deadline 3 December, 2019

The Jean Monnet Centre of Excellence on the Regulation of Robotics and Artificial Intelligence “EURA” is pleased to announce that the DIRPOLIS Institute of the Sant’Anna School of Advanced Studies is hiring one research fellow working in the field of ROBOLAW!



The position corresponds to the Italian qualification of “Assegnisti di ricerca” and, for the purposes of the classification set forth by the Italian Ministry of Education and Research (MIUR), pertains to the scientific area of private law (IUS/01).



We are looking for applicants to work within EURA on various issues connected to the regulation of robotics and AI, under a private law perspective (e.g.: liability, insurance, data ownership and protection, intellectual property, standardization and certification, users’ trust and acceptance, privacy-by-design, human-robot interaction, trust, and empathic machines), under the supervision of <https://www.eura.santannapisa.it/director-scientific-coordinator> Dr.

Andrea Bertolini.



Selected candidates will work on national and international project funded, undergo independent, collaborative, and supervised research – possibly involving consultancy to policy-makers – and will participate in future applications for funding, in the organization of conference and events, as well as in teaching activities. The candidate is also required to perform some administrative work related to the above.



The contract duration is for one year, but the possibility the renew the contract for a maximum of 3 years is provided. More information on the job offer and on the application procedure can be found at the following <https://www.santannapisa.it/en/assegni-di-ricerca-e-selezioni/dirpolis-inst

itute-regulation-robotics-and-artificial-intelligence> link. Make sure

itute-regulation-robotics-and-artificial-intelligence> you

apply by the 3rd of December!

✔️ @ApplyTime

PhD Position in Deep Learning for Robotics at Istanbul Technical University (Turkey), in collaboration with Halmstad University (Sweden)

Artificial Intelligence and Robotics (AIR) Laboratory at Istanbul Technical University (ITU) announces the availability of a Ph.D. position in Deep Learning for Robotics.


The selected Ph.D. student will carry out research on developing novel neural networks to fuse various sensory data streams, derive semantics and generate policies to predict and prevent failures in the context of robot imitation learning of human manipulation actions. The research will be performed within the PARTNER (*P*redicting *a*nd P*r*eventing Unsafe Si*t* uatio*n*s for S*e*rvice *R*obots) project funded by the Scientific and Technological Research Council of Turkey (TUBITAK). The project is in close collaboration with Halmstad University (HH) and aims to design and develop an effective system for service robots to predict and prevent unsafe states.


The student will be employed by the AIR Lab at ITU. There is a certain possibility that the student will receive a Ph.D. degree from both universities (i.e. a double degree). The selected Ph.D. student will be placed at the AIR Lab where Assoc. Prof. Sanem Sariel will be the main supervisor and guide the daily work. The PHD work will be in close collaboration with Asst. Prof. Eren Erdal Aksoy as academic supervisor at HH. It is foreseen that shorter periods of time will be spent at HH to perform various robotics experiments.

The selected Ph.D. student will be responsible for conducting research within the PARTNER project and for participating in the required Ph.D.

course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.


This is a full-time position available from January 2020 for a period of three years with a possibility of a further extension, subject to satisfactory progress of the Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available


*Requirements

The ideal candidate has a Master’s degree in robotics, computer science, machine learning, mathematics, physics, or a related engineering discipline. A strong background in robotics, computer vision, machine learning, or software engineering is desirable.

Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in ROS and deep learning is a plus.

*Application*

A full application consists of:
1. a detailed CV
2. a motivation letter / research statement

3. two reference letters
4. copies/links to publications and software samples, if any
5. degree certificates and grade trannoscripts (master and bachelor)
List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.


Applications should be sent to: sariel@itu.edu.tr and eren.aksoy@hh.se


*Closing date*

The application deadline is *06 December 2019*.

For more information about the position, please contact Associate Prof.

Sanem Sariel (sariel@itu.edu.tr) and/or Assistant Prof. Eren Erdal Aksoy (

eren.aksoy@hh.se)

Kind regards,
Eren Aksoy
Eren Erdal Aksoy
Assistant Professor
Halmstad University (HH)

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PhD Position in Biomedical Image Analysis and Deep Learning, Heidelberg University

The research group Biomedical Computer Vision (BMCV) currently offers a PhD
position in the field of Biomedical Image Analysis. The task is the
development of methods and software for automated analysis of biomedical
images using Deep Learning. The aim is to improve medical diagnosis and
therapy, and the work is carried out in cooperation with biomedical
partners.

The BMCV group develops methods and algorithms for automated analysis of
biological and medical images, in particular, cell microscopy images and
medical tomographic images. A wide spectrum of methods is investigated
including segmentation, tracking, registration, and machine learning. A
focus is on deep learning methods. The group achieved excellent results in
international competitions on tracking.

Candidates must have a Master in Computer Science, Electrical Engineering,
Medical Informatics, Biomedical Engineering, Bioinformatics, Applied
Mathematics, or a related discipline. We are looking for person with a
background in Image Analysis and Deep Learning as well as good mathematical
and programming skills. We also expect experience with software development
systems and software container techniques. Candidates should be highly
motivated, team-oriented, and interested in interdisciplinary research.

Please send your application per E-Mail to:
PD Dr. Karl Rohr
Heidelberg University, BioQuant Center, IPMB, and DKFZ Biomedical Computer
Vision Group Im Neuenheimer Feld 267
69120 Heidelberg, Germany

E-Mail: k.rohr (at) dkfz.de or k.rohr (at) uni-heidelberg.de
http://www.bioquant.uni-heidelberg.de/bmcv

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Fully Funded PhD position in AI and Machine Learning for mental well being at ORU, Sweden

This is a fully funded PhD position on AI and Machine Learning at the Centre for Applied Autonomous Sensor Systems (AASS, www.oru.se/aass) at Örebro University (www.oru.se), Sweden. This PhD position is funded by the Wallenberg Artificial Intelligence, Autonomous Systems and Software Program (WASP, wasp-sweden.org), which a Swedish national initiative.

The research topic for this PhD position is to devise and implement new artificial intelligence-based systems to monitor and asses the quality of life of citizens, with main focus on mental well-being. Target populations of this system include elderly people living independently, and people at risk of developing negative mental states (stress, anxiety, and depression), among others.

AI and Machine learning will be used to estimate in real time the mental well-being of people. This includes mood (happiness, sadness, sleepiness, etc), and negative states (stress, anxiety) in order to assess the potential risk for a depression of people during their daily life activities. Assessment will be based on data from different sources including sensors, activity patterns, mental assessment, daily agenda, and so on. New ways of data collection will also be researched. An important question to be answered will be what are the relevant data and the relevant moods when it comes to the assessment of mental well-being.

For more specific details on this PhD position and the application process, please visit the link:

https://www.oru.se/jobba-hos-oss/lediga-jobb/jobbannons/?jid=20190271

Contact persons:
- Assoc. Prof. Oscar M. Mozos, email: oscar.mozos@@oru.se / omozos@gmail.com / www: sites.google.com/view/oscarmozos

Regards,
Oscar
-----------------------------
Oscar Martinez Mozos, PhD

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