Bio Imaging and Signal Processing

Apply here: https://www.kuleuven.be/personeel/jobsite/jobs/55004282?hl=en&lang=en

Responsibilities

This job opening covers a research position (minimum 2 years) at the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven (Belgium) for a postdoctoral researcher in the frame of an ERC project on next-generation wearable neuro-technology and neuro-sensor networks.  The candidate will design novel adaptive neural decoding algorithms, amenable to low-power wearable neural sensors with constrained energy resources. The candidate may also be involved in the guidance and support of PhD students within the lab.

Profile

Candidates should preferably have experience with setting up EEG-based BCI experiments, and should have a good theoretical knowledge and insight in state-of-the-art signal processing and machine learning algorithms. Experience with neural decoding, EEG data collection, and/or brain-computer interfaces is a strong plus. Additional research/educational experience in any of the following topics is a plus:   - Adaptive filtering - Component analysis theory and application (PCA, ICA, IVA, CCA, …) - Machine learning (deep or not) - Multi-channel signal processing and spatial filtering - (Blind) source separation - Sensor array processing (beamforming, detection, …) - Distributed signal processing - Optimization theory (convex or non-convex)   Candidates should have co-authored at least 3 papers in high-quality engineering journals with a good impact factor in a field related to the abovementioned topics.    Candidates should be motivated, independent, critical, and should have strong team-player skills. Excellent proficiency in the English language is also required, as well as good communication skills, both oral and written.

Offer

- An exciting interdisciplinary research environment at KU Leuven, Europe’s most innovative university (Reuters: https://www.reuters.com/innovative-universities-europe-2018/profile?uid=1 ) - The opportunity to improve leadership skills (including supervising PhD students). - The possibility to participate in international conferences and collaborations - A 2-year contract with a competitive monthly stipend (with the possibility to extend it beyond 2 years).   More info: https://www.kuleuven.be/personeel/jobsite/jobs/55004282?hl=en&lang=en

This job opening covers a research position at the STADIUS group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) for a Ph.D. candidate in the frame of an ERC project on signal processing algorithm design for next-generation wearable neuro-technology and neuro-sensornetworks.  A specific focus is on the design of adaptive multi-channel neural signal processing algorithms, amenable to low-power distributed or parallellizable architectures with constrained energy resources.

For more information, visit  https://www.kuleuven.be/personeel/jobsite/jobs/54738582?hl=en&lang=en

This job opening covers a research position (minimum 2 years) at the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven (Belgium) for a postdoctoral researcher in the frame of a project on next-generation wearable neuro-technology and neuro-sensor networks.  The candidate will take the lead in guiding PhD students to set up BCI experiments using standard high-density EEG equipment together with some tailored non-standard equipment, and will also be involved in the data analysis and the algorithm design towards novel adaptive neural decoding algorithms, amenable to low-power wearable sensors with constrained energy resources.

For more information, visit  https://www.kuleuven.be/personeel/jobsite/jobs/54750961

Center for Biomedical Image Analysis of Masaryk University in Brno, Czech Republic, offers postdoc and PhD student positions related to the analysis of microscopy cell images.

More information can be found at:
https://cbia.fi.muni.cz/news/job-offer.html

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES

The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is looking for highly motivated students to work on:

- Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Functional investigation of innovative neural interfaces - Investigation of sensorimotor functions in animal models (NH primates and rats) - Machine learning applications to multimodal brain and speech signals - Human neurophysiology of speech and sensorimotor communication - Cortical recordings in human patients during awake Neurosurgery - Hardware and software development for innovative exploration of brain signals   We are looking for computer scientists, biomedical/electrical engineers, biologists or experimental psychologists eager to work in an international and multidisciplinary team.

Where: The CTNSC is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. UNIFE is one of the oldest Universities (founded in 1391) and in terms of its size, facilities, quality, and quantity of education and research is a point of excellence within Italy.

Ferrara is a well connected (30-min to Bologna, 40-min to Padua, 60-min to Venice), lively and affordable student city (https://whc.unesco.org/en/list/733).

Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection

DEADLINE: 23 July 2018

Postdoctoral Researcher/Doctoral Student/Project Researcher (Imaging/Sensing/Automatic control), 1-3 positions

The Signal and Image Restoration Group is part of the Laboratory of Signal Processing at Tampere University of Technology. The group research is dedicated to the characterization, transformation, and filtering of noise and other degradations for a variety of consumer, medical, and scientific imaging devices. The group develops theoretically grounded models, methods, and regularization priors for unsupervised processing of data from a diverse range of sensors, including direct, inverse, as well as computational imaging systems, with the ultimate goal of substantially improving the sensing/imaging quality and extending the applicability and efficiency of these devices. It has a strong scientific profile and is involved in national and international projects with both academic and industrial partners.

Job description:    

The Signal and Image Restoration Group is currently looking for motivated and talented postdoctoral and doctoral-student level researchers to contribute to ongoing research projects. The main problems to be investigated include image sensing and restoration at extremely low energy levels (with application to inverse problems in physics and medicine), and adaptive control of ultrafast broadband laser sources.

The positions are strongly research focused. Activities include conducting empirical research, theoretical analysis, algorithm design, software development and validation, reading and writing scientific articles, presentation of the research results at seminars and conferences in Finland and abroad, acquiring (or assisting in acquiring) further funding.

Candidates hired for Doctoral Student positions will work towards completion of a PhD degree under the supervision of the senior members of the research group.

Requirements:    

Candidates should hold a master or doctoral degree in image processing, computer science and/or engineering, data science, applied mathematics, or related areas.

Candidates are also expected to have good skills in scientific programming (preferably Matlab, Python, and/or C), proficiency in English, both written and spoken.

The following qualities are appreciated:

 * a strong background in linear algebra, statistical estimation, machine learning, and/or numerical optimization;

 * experience working with real data;

 * experience working with sensors and control systems.

Candidates at the postdoctoral level must have a demonstrated ability to carry out independent research in at least one of the following fields: signal and image processing, machines learning, multivariate statistics.

Information and application instructions:
https://careers.fi/tty/careers.cgi?action=view&job_id=1353&lang=uk

Center for Biomedical Image Analysis of Masaryk University in Brno, Czech Republic, offers postdoc and PhD student positions related to biomedical image analysis.

More information can be found at:
http://cbia.fi.muni.cz/events/job-offer.html

Several post-doctoral fellow or PhD graduate research assistant positions are available immediately to work on the development of machine learning, image processing, statistical and signal processing approaches for the analysis and integration of genomic and medical imaging data.  More information about our research work at Multiscale Bioimaging and Bioinformatics Laboratory of Tulane Biomedical Engineering Department can be found at our website (http://www.tulane.edu/~wyp/).  The position will be funded by both NIH and NSF. The candidate will have a chance to collaborate with people at Tulane School of Sciences and Engineering, School of Public Health and Tropic Medicine and School of Medicine. Tulane is a private university and a member of the 63 prestigious Association of American Universities (AAU). Tulane is ranked as the 39th best national university in 2016 by US News Report, providing a unique environment for learning and research. The salary for post-doctoral fellow is negotiable, commensurate with the experiences of the candidate.

Qualifications:

(1) A degree in Applied and Computational Mathematics, Biomedical Engineering, Electrical Engineering, Computer Science, Statistics or other related fields; (2) Programming skills with MATLAB or C; (3) Experience and knowledge of signal processing, machine learning and statistical analysis; (4) Knowledge of biology and genomics is desirable but not required.

Contact:

	Yu-Ping Wang, PhD
	Professor of Biomedical Engineering, Computer Science, Neuroscience, & Department of Biostatistics and Bioinformatics Tulane University
	500 Lindy Boggs Bldg. New Orleans, LA 70118

One postdoc and up to two PhD positions are available at the Centre for Biomedical Image Analysis (CBIA), which is a research division of the Faculty of Informatics of Masaryk University, Brno, Czech Republic. The focus of CBIA is the development and validation of novel methods in a broad range of biomedical imaging applications with emphasis on cell imaging using optical microscopy. Research topics include image analysis, image segmentation, object tracking, image filtering, image restoration, image registration, image acquisition and also simulation of image formation and electronic detection. Methods for automated image acquisition and analysis are being developed and tested on real microscopy systems capable of high-quality 3D cell imaging including time-lapse imaging. The candidate is encouraged to work in one of the above-mentioned areas and collaborate with researchers of a different background. Especially involvement in one of the following topics is welcome:

• Machine learning techniques applied to cell segmentation and tracking
• Energy-based techniques applied to cell segmentation and tracking
• Adaptive mathematical morphology techniques applied to cell segmentation and tracking
• Simulations and modelling of live cell dynamics
• Study of accuracy and precision of measurements in microscopy using simulation

More information can be found at http://cbia.fi.muni.cz/events/job-offer.html

We are searching for a bright and enthusiastic individual to join our team as a postdoctoral fellow in the area of modelling & simulation of plants and crops. This is part of the the "Mechanistic Modeling of Plant Development for Plant Phenomics" theme of the P2IRC P2IRC project. Specifically, the role will involve modeling, simulation of plants, and creating hybrid models incorporating biomechanical models. The ideal candidate will have strong computer programming skills and a keen interest in computer graphics, modeling, and bioinformatics and computational biology. The position will be co-supervised by Drs. Ian Stavness and Ian McQuillan in the computer science department at the University of Saskatchewan and involve collaboration with researchers at the University of Calgary (http://algorithmicbotany.org/). 

The "Mechanistic Modeling of Plant Development for Plant Phenomics" theme in P2IRC consists of an interdisciplinary and collaborative team consisting of seven faculty and their graduate students. The team is led by Drs. Przemyslaw Prusinkiewicz and Ian McQuillan. More information is available at https://www.cs.usask.ca/research/phenotyping-centre/.

Context:

The Plant Phenotyping and Imaging Research Centre (P²IRC) is an agricultural research centre managed by the Global Institute for Food Security (GIFS) and located at the University of Saskatchewan. P2IRC was established thanks to funding awarded to the University of Saskatchewan by the Canada First Research Excellence Fund award, Designing Crops for Global Food Security.

GIFS (www.gifs.ca) was founded in 2012 to perform research that will help deliver transformative innovation to agriculture in both the developed and the developing world. Research at GIFS can be divided into three pillars; seed and developmental biology, root-soil-microbial interactions, and digital and computational agriculture. The latter pillar is occupied by P2IRC.

P2IRC’s seven-year transdisciplinary program will transform crop breeding through research in phenometrics, image acquisition technologies, computational informatics of crop phenotype data, and societal and developing world impact. P2IRC (http://p2irc.usask.ca/) is a major research centre with partners located on campus, across Canada, and internationally.

Qualifications:

Education: Relevant post-graduate training (Ph.D. or previous PDF) in computer science, computational biology, computer graphics, simulation, bioinformatics or a related discipline. PhD must have been awarded within five years immediately preceding the appointment.

Experience: Previous experience with one or more of the following is required: physics-based simulation / finite-element simulation, 3D modeling and simulation, machine-learning methods in a bioinformatics context.

Specific Accountabilities:

• Incorporate and combine models of tissue biomechanics (http://www.artisynth.org) into simulations of plant growth and development (http://algorithmicbotany.org/virtual_laboratory) 
• Contribute to the modeling of the genotype-to-phenotype mapping  by using mechanistic model-based approaches
• Contribute to the modeling of roots
• Help foster collaboration with other themes of the P2IRC project, such as those working on image processing, machine learning, and also those establishing bioinformatics linkages between phenotype and genotype

Skills:                 

• Research motivation, good command of English, and excellent communication
• Excellent programming skills and ability to rapidly understand different modeling algorithms; experience contributing to large software platforms is a plus
• Familiarity with data repositories of genomic and phenotypic information
• Knowledge of C++, Java, and Python 
   

Salary Information: 
The salary offered will be in the range of $45,000-55,000 CAD, and will be based on training, education, and experience.

Duration: 
This term position will be for up to three years, commencing as soon as possible. Annual re-appointment will be dependent upon satisfactory performance, immigration status (if applicable) and the availability of funding.

Application Procedure:
(1) Send an email a cover letter indicating their interest and experience, a CV, and  transcripts from university degrees to plant_modeling_position@cs.usask.ca 
(2) Complete a short online application form: https://goo.gl/forms/6pDscyUWT3rqgFDD2 
Inquiries regarding the position can be directed to Dr. Ian Stavness (ian.stavness@usask.ca) or Dr. Ian McQuillan (mcquillan@cs.usask.ca).

Applications will begin to be reviewed May 8, 2017, and continue until a suitable candidate is found. We appreciate all expressions of interest; however, only those candidates whose backgrounds best suit our requirements will be contacted. All application materials will be treated confidentially.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents of Canada will be given priority.