Postdoctoral Position on Multiview Learning, University of Saint-Etienne, France

A post-doctoral position on multiview learning is available in the Machine Learning/Data Intelligence team of the Hubert Curien lab at the University of Saint-Etienne, France.

Research topics of interest include but are not limited to:
-theoretical frameworks,
-representation learning approaches,
-deep learning approaches,
-transfer learning,
-optimal transport,
-development of new algorithmic approaches,
-dealing missing views.

The position is for one year (with possibility to extend it to 2 years).
The expected salary is 2193 euros NET per month (gross salary: 2,727 euros), including health care.

More information and the application procedure available on this page:
https: //perso.univ-st-etienne. en / me63854h / misc / offer_post_do c_lives.html

Contacts:
{emilie.morvant, ievgen.redko, has maury.habrard}@univ-st-etienne .com

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Postdoctoral position in computational neuroimaging in the area of health neuroscience, Carnegie Mellon University

The Cognitive Axon (CoAx) Lab at Carnegie Mellon University (www.cognitiveaxon.com) has an open postdoctoral position in computational neuroimaging in the area of health neuroscience to work on a set of projects combining machinelearning with large-sampled, high-resolution brain imaging datasets in order to build predictive neuromarkers of cardiovascular disease and other health outcomes. This project is part of an NIH-funded Program Project Grant (P01) with researchers in the MachineLearning) has an open postdoctoral position in computational neuroimaging in the area of health neuroscience to work on a set of projects combining machine learning with large-sampled, high-resolution brain imaging datasets in order to build predictive neuromarkers of cardiovascular disease and other health outcomes. This project is part of an NIH-funded Program Project Grant (P01) with researchers in the Machine Learning Department at CMU and the Departments of Psychology and Medicine at the University of Pittsburgh.

Strong applicants will have:
• Established experience in analyzing neuroimaging data (e.g., fMRI, EEG, diffusion MRI) and/or machine learning• Established experience in analyzing neuroimaging data (e.g., fMRI, EEG, diffusion MRI) and/or machine learning.
• Experience with statistical/scientific programming languages (expertise in Python, Matlab• Experience with statistical/scientific programming languages (expertise in Python, Matlab, and/or R preferred).
• Topical expertise in statistical and computational approaches (e.g., regression, clustering, signal processing).
• Demonstrated ability to complete projects as evidenced by first-author publications.
• Strong organizational, interpersonal, and communication skills that will ensure multidisciplinary collaboration across labs

This position is fully funded for three years with a possible extension for an additional two years.

To apply, please submit a CV, cover letter, and a list of three references to Timothy Verstynen (timothyv@andrew.cmu.edu). The cover letter should include a summary of the candidate’s research interests to date and a statement of future research interests.

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Preyer Postdoctoral Scholar for Strengthening Families, University of North Carolina Chapel Hill, USA

Supervised by Dr. Rebecca Macy, the School of Social Work at the University of North Carolina at Chapel Hill is seeking an emerging scholar for a postdoctoral position to work with a team of faculty and students on research projects related to family, gender, and interpersonal violence (e.g., dating violence, domestic/partner violence, human trafficking, and/or sexual assault and violence). This postdoctoral scholar will support Macy and her team in: conducting literature reviews; conducting qualitative and quantitative data collection; developing grant applications; developing study designs, study protocols and IRB applications; qualitative and quantitative data management and analysis; and research and scholarly dissemination in scholarly as well as practitioner- and policy-based venues. This position will primarily focus on projects related to evaluating services for gender-based violence, developing interventions for elder abuse, and investigations of intimate partner homicide. While working with Macy and her team, the emerging scholar will also have opportunities to develop capacities, expertise, and skills for independent research.
Estimated Appointment Duration: 12-months with the potential of an additional 12-month renewal for a total of 24-months.

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PhD Scholarship in Frequency Combs in Linbo3 Waveguides

Project description

Third-cycle subject: Physics - specialization optics and photonics

The project concerns applied research in the field of integrated nonlinear optics in the framework of the European Network MICROCOMB, aiming at the demonstration of frequency comb generators based on quadratic nonlinearities. Frequency comb research is a Nobel prize winning area and frequency comb generators in compact integrated microresonators (microcombs) are now rapidly emerging as a disruptive technology with multi-disciplinary applications, which encompass metrology, ultrafast signal processing, astronomy, spectroscopy, quantum optics and soliton physics.

The goal of this project is to explore, through theory and experiments, the potential of quadratic optical nonlinearities for a novel class of microcomb devices. The project shall build upon the state-of-the-art nanophotonic platform developed at KTH for ultrahigh confinement and low loss waveguides in lithium niobate on insulator (LNOI) and investigate with it novel nonlinear effects and devices, to demonstrate on-chip microcombs operating with quadratic nonlinearities in the cascading regime.

Through the project, you will become an expert in LNOI nanophotonics, microcombs and nonlinear optics and receive high-quality training in a broad range of experimental techniques for photonic device characterization, fabrication and modelling. Furthermore you shall gain skills in research collaboration, mobility and innovation and take part in a rich programme of trans-national scientific exchanges and events withing the MICROCOMB network, involving leading industry and academic partners across Europe.

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Monash University has an opening postdoctoral fellowship position in molecular biology. The deadline to apply is January 03, 2019.

The Opportunity

Established through a joint venture between Monash University and the Victorian Government, the Australian Regenerative Medicine Institute (ARMI) builds on the University's existing strengths in biomedical research, and supports the critical infrastructure required to deliver the next generation of discoveries in regenerative medicine.

ARMI is located at one of the world's largest regenerative medicine and stem cell research centres, at the Clayton Campus. Its scientists have a focus on unravelling the basic mechanisms of the regenerative process, enabling doctors to prevent, halt and reverse damage to vital organs due to disease, injury or genetic conditions.

ARMI’s Mission is to address the unanswered questions with a multi‐centre, cross‐disciplinary and highly focused approach, for the development of innovative clinical protocols as well as the pursuit of rapid commercial transfer of its technologies related to regenerative medicine. A core element of the ARMI is the creating and supporting the scientific leaders of tomorrow through the Future Scientific Leaders Program based on the model at the world-renowned European Molecular Biology Laboratories (EMBL) established throughout Europe. The program facilitates collaboration between the scientific leaders of today and providing young scientists with the freedom to pursue discovery‐based research and position them to become the scientific leaders of tomorrow.
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Postdoc in Bacterial Protein Phosphorylation, Denmark

DTU Biosustain announces a vacancy in the Bacterial Signal Transduction group headed by Professor Ivan Mijakovic. We are a bacteriology laboratory, working with a broad range of topics. One major focus of our research is protein phosphorylation, a reversible post-translational modification which forms the basis of many signaling and regulatory mechanisms in the bacterial cell. We study bacterial cell factories, employing phosphorylation systems to improve their yield, and bacterial pathogens, to exploit phosphorylation systems as targets for development of new antibacterial drugs.

This particular position is related to a basic science project on protein phosphorylation in the bacterium Bacillus subtilis. The project will be related to the question how relatively few kinases in bacteria can control the phosphorylation state of a large number of substrate proteins. The experimental approach will entail mass spectrometry-based quantitative phosphoproteomics which will lead into functional characterization, both in vitro and in vivo, of select phosphoproteins.

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Senior Postdoc Position and Teaching Fellow in Solution Processed Graphene and Related Materials and Composites

The aim is to develop a new class of composites able to exploit the mechanical, thermal, optical and electrical properties of graphene and related materials. The post holder will undertake the optimization of inks, dispersions and composites based on graphene and exfoliated layered materials for a wide range of printing and coating techniques. The role holder will be responsible for testing the materials in transparent and conductive composites for photovoltaics, smart windows, touch screens, and flexible electronics devices in general. The role holder will develop stable, jettable inks based on such materials suitable for printing on a broad range of substrates including flexible, paper and textiles. The role holder will develop composites by combining two or more inks of different materials to fine-tune their properties. The role holder will also develop conducting polymer/graphene-coated microfibers and characterise their structural, physical, electrochemical properties and electrobiological functionality, for electronic interconnection, surgical handling and chronic implantation. This is an ambitious frontier research program, with a strong interdisciplinary nature, across engineering, physical, chemical and soft matter sciences, and will require the optimization of inks and solutions based on graphene and related materials, as well as their incorporation in a variety of host substances, ranging from polymers, to glass, metal, concrete, etc. with the aim of augmenting the mechanical, thermal, optical, or electronic properties of the host material.

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Postdoctoral position in Petroleum Technology: UiS 89 views, Norway

The University of Stavanger (UiS) has about 12,000 students and 1,700 employees. We are the only Norwegian member of the European Consortium of Innovative Universities. The university has high ambitions. We will have an innovative and international profile, and will be a driving force in knowledge development and in the process of societal change. Together with our staff and students, we will challenge the well-known and explore the unknown.

The Department of Energy Resources is part of the Faculty of Science and Technology. The international academic staff conducts research related to energy resources, technology for improved oil recovery (IOR), decision analysis and geosciences. Study programs offer courses related to the exploration and utilization of petroleum and natural resources. The department focuses on internationalization, with development of study programs in English and high mobility among academic staff and students. The department contributes significantly to the research activities and leadership of The National IOR Centre of Norway, established by the Ministry of Petroleum and Energy. There are currently 50 employees in the department including research fellows and postdocs.

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Postdoctoral Research Fellow / Research Fellow in Pyrometallurgy Innovation Centre, University of Queensland

The School of Chemical Engineering is an international leader in the chemical engineering field and has an excellent reputation, built over many decades at The University of Queensland. We deliver quality programs and leadership in chemical engineering education, research and development, and expert consulting to support the process industries. Undergraduate teaching within the School focuses on the disciplines of chemical, biological, environmental and metallurgical engineering and postgraduate programs are available in growing fields including water, sustainable energy and petroleum engineering. For more Information about the Centre, please visit: www.uq.edu.au/chemeng

The Pyrometallurgy Innovation Centre at The University of Queensland has an outstanding international reputation for the high quality of research output. The Centre undertakes fundamental and applied research, funded through competitive Government grants and by world-wide consortia of leading international metallurgical, recycling and advanced materials (including Li batteris) industrial companies. We are seeking enthusiastic candidates interested in cutting edge fundamental as well as applied research in the field of high temperature process metallurgy, metal extraction, recycling and advanced materials manufacturing. The research involves advanced experimental studies integrated with thermodynamic modelling. The research outcomes are essential for modern knowledge-based circular economy including recovery of valuable metals, recycling of electronics and batteries, reduction of energy consumption, CO2 emissions and overall environmental footprint of developed society.

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Two Postdoc positions in AI/Machine Learning at Rochester Institute of Technology, USA

Two postdoctoral scholar positions are available at Rochester Institute of Technology - Golisano College of Computing and Information Sciences. The postdoc scholars will primarily work in the areas of AI/machine learning and are primarily responsible for developing advanced machine learning models to support complex decision-making. The positions will allow the candidates to further grow their expertise in AI/machine learning or related areas by working on important data analytics problems in specialized domains, building a strong publication record, and obtaining grant proposal writing experience. The positions will also enable the candidates to interact with a large team of PhD/MS students in Dr. Qi Yu’s group (http://www.ist.rit.edu/~qyuvks/) and Dr. Yu Kong’s group (https://people.rit.edu/yukics) as well as domain experts through multiple research projects currently funded by NSF, DoD/ONR, and RIT. The candidates will be co-advised by Dr. Qi Yu and Dr. Yu Kong.

The initial appointment is for one year and can be renewed on a yearly basis according to performance. Salary is competitive. Applications will be reviewed immediately and the positions are available immediately. Please send your CV and representative papers to Dr. Yu Kong (yu.kong AT rit.edu) for applications. Further inquiries can also be sent to Dr. Yu Kong.

Job Responsibilities
● Develop advanced machine learning models to analyze large-scale dynamic data of heterogeneous types (e.g., images, videos, text, and numbers) created in both simulated, and real-world environments
● Develop advanced algorithms to visualize results of complex machine learning models and fuse real-time human input in various forms
● Collaborate with domain experts for requirement gathering and report results
● Supervise graduate (both PhD and MS) students
● Participate in grant proposal writing and report preparation
● Publish/present findings in research publications

Qualifications
● [Required] A PhD in Computing Science or a relevant field with specialization in machine learning, data mining, and their applications.
● [Required] Strong programming skills and familiar with widely used machine learning packages
● [Preferred] Good publication record in reputable machine learning, data mining, and AI conferences (NIPS/ICML/AAAI/IJCAI/ICDM, etc) and journals (TPAMI/TKDE/TNNLS, etc).
● [Preferred] Experience in interactive machine learning and visual analytics
● [Preferred] Experience in using heterogeneous data, including images, videos, among others
● [Preferred] Good communication skills (written and verbal)

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PhD Scholarship in Financial Economics at University of Gothenburg

The Department of Economics and the Centre for Finance at the University of Gothenburg announces one position in the PhD program in Economics with specific focus on Financial Economics.

The department has about 100 employees and faculty conducting research within a broad range of areas, including (but not limited to) financial economics, labor, environmental, development, health, and behavioral. More information about the financial economics group including job placements of past PhD students, is available at https://economics.handels.gu.se/english/research/research-areas/financial-economics. More information about the economics department and the PhD program is available at www.economics.gu.se


Job assignments
We aim at recruiting one PhD student who will be employed on a regular and fully financed Swedish PhD position (doktorandtjänst). The program starts September 1, 2019; the expected date of completion is May, 2024. The first two years are largely dominated by coursework whereas the remainder are primarily devoted to research and thesis writing as well as departmental work and teaching duties.

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PhD Scholarship Position in Microbiology/biotechnology/microbial Electrochemistry, Chalmers University of Technology

Major responsibilities
As a PhD student in our group, you will carry out research on microbial communities growing on electrode surfaces in bioelectrochemical systems. Some living microorganisms are capable of transferring electrons to or from solid electrodes. This phenomenon could have many practical applications. For example, bioelectrochemical system have been investigated for conversion of organic compounds in wastewater into electrical energy, production of energy carriers and chemicals, recovery of metals, and use as biosensors.

In this PhD project, you will focus on microbial communities that oxidize organic compounds and generate electrical current at an anode. You will investigate how the microbial communities assemble and develop over time, and how various factors affect their composition and performance. You will build, operate and analyze the performance of bioelectrochemical systems and you will use molecular tools such as PCR and high-throughput sequencing to study the microbial communities.

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Applicants are invited to apply for a postdoctoral associate position in applied mathematics at Australian National University. Candidates are welcome before January 14, 2019.

Position overview

The Research School of Earth Sciences (RSES) at the Australian National University (ANU) invites applications for a Postdoctoral Fellow/ Research Fellow in inverse geodynamics. The goal is a reconstruction of the thermo-chemical state of Earth’s mantle, in space and time. The position will focus upon the computational development, validation and application of inverse methods that allow present-day and time-dependent observations to be propagated backward through geological history, together with their uncertainties.

The position will be based at RSES, under the supervision of Dr Rhodri Davies. The successful applicant will also work closely with Prof. Malcolm Sambridge and Dr Andrew Valentine, and will interact with the National Computational Infrastructure (NCI), based at the ANU.

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Post-doctoral Fellowship in ML and Lung Imaging, University of British Columbia, Vancouver, Canada

Post-doctoral Fellowship at the Centre for Heart and Lung Innovation at St Paul’s Hospital, University of British Columbia, and the Department of Radiology and School of Biomedical Engineering, University of British Columbia

Salary: Commensurate with qualifications and experience

Program: Machine Learning for Image Analysis in Lung Disease

A post-doctoral position with one-year term and extendable for another year with satisfactory progress is available immediately for a highly motivated recent PhD graduate to join an interdisciplinary collaborative research team at the UBC Center for Heart Lung Innovation (HLI). The position will be focused on machine learning for the characterization of imaging biomarkers in chronic obstructive pulmonary disease (COPD) and associated diseases.

The research fellow will work under the supervision of James Hogg, MD, PhD, an Emeritus Professor in the Department of Pathology at the University of British Columbia, Senior Investigator at the HLI located at St Paul’s Hospital, and member of the Canadian Medical Hall of Fame, and Roger Tam, PhD, an Associate Professor in the Department of Radiology and School of Biomedical Engineering, University of British Columbia.

The research will involve the development and application of machine learning methods to the analysis of structural and histopathological images of the lung to enhance the biological understanding of COPD and associated diseases. Machine learning approaches will be used to discover and link imaging biomarkers across multiple scales and imaging modalities.

Eligibility: Highly motivated individuals with a recent PhD in computer science, biomedical engineering, or related field, a strong publication record, and excellent academic credentials are encouraged to apply. Demonstrated familiarity with a range of machine learning methods, including ensemble learning methods such as random forests and feature learning methods such as deep learning, and expertise in the application of such methods to image analysis are required. Experience with biomedical imaging data is preferred. UBC hires on the basis of merit and is committed to employment equity. We encourage all qualified persons to apply. However, Canadians and permanent residents of Canada will be given priority.

Duration: 1 year with possible extension for a second year.

Contact: Please submit a cover letter, curriculum vitae, transcripts from formal post-secondary school education, and the names and full contact information for three professional references. The cover letter should include a description of your previous research experience and long-term career goals. Send electronic applications by December 21, 2018 to roger.tam@ubc.ca.

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Postdocs and Research Engineers: DBL Lab – TU Delft

Delft Blockchain-lab

DBL has been established in 2017, and is funded by the Executive Board of the university as a strategic investment in research and valorization in blockchain technology. DBL involves researchers in the Faculties of Electrical Engineering, Mathematics and Computer Science (EEMCS), Technology, Policy and Management (TPM), and Applied Sciences (AS) of TU Delft.


The Delft Blockchain Lab is one of the largest blockchain labs in Europe, combining the work of 8 professors. Its mission is to lay the foundation for a long-term research line in blockchain and trust in the Internet.


DBL actively pursues collaborations with partners in society and industry, and outreach to the general public. For instance, it collaborates with the Port of Rotterdam, the Ministry of the Interior, ING Bank, and the Authority Financial Markets. Similarly as DBL, these are all members of the Dutch Blockchain Coalition (https://www.dutchdigitaldelta.nl/blockchain), which has its home base on the campus of TU Delft.

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Postdoctoral Student in Biology at Lund University

Project description

Ecosystem-based climate adaptations involve sustainable management of ecosystems to help humans adapt to climate change. To mitigate coastal erosion by using green infrastructure we will study the effects of two green actions in this project; beach nourishment and re-implantation of eelgrass meadows at four case study sites in southern Sweden. We look to understand how the effects of these measures contribute to increased biodiversity, decreased wave energy and increased cultural ecosystem services at these locations.

Southern Sweden is particularly vulnerable to rising sea levels. As winds from the west are becoming more common and pushing water towards the coast, Skåne and Halland will be further exposed to floods, as storms and precipitation will increase. However, in Denmark and Netherlands where they experience the same problems – beach nourishment and introducing eelgrass meadows has proven to be a successful method. The Swedish Geotechnical Institute, Sweden's national coordinator on coastal erosion, proposes combining beach nourishment with introducing vegetation on land and sea. The proposed project on how we can protect our coastal areas with green infrastructure, has a clear link with citizens and actors involved in spatial planning processes. The project is multidisciplinary and involves partnership between natural science, social science, geotechnology, engineers, the citizens and public administration on all levels.

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Postdoc Position in Human Regulatory T Cell Immunology, Imperial College London

The purpose of the post is to recruit a passionate, self-motivated and dynamic postdoctoral Research Associate to join Dr. Dominguez-Villar’s laboratory at Imperial College London, UK. Our research focuses on understanding the molecular mechanisms that maintain human regulatory T cell identity and plasticity and the regulation of CD4+ T cell responses in autoimmune and infectious disease settings. We have recently defined key signalling...

Job listing information
Reference MED00940
Date posted 7 December 2018
Closing date 18 January 2019

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PhD Studentship in Multiscale Modelling of Interacting Particle Systems (Fixed Term)

Applications are invited for a three-year PhD student position in Applied Mathematics to work with Dr Maria Bruna at the Department of Applied Mathematics and Theoretical Physics (DAMTP). The studentship is funded by Dr Bruna's Royal Society Research Fellow Enhancement Award. The project involves the derivation of kinetic models of stochastic systems of interacting particles, with specific focus on accounting for excluded-volume interactions between particles.

The post is available from October 2019 and is open to EU and UK nationals. The PhD Studentship offered is fully funded for three years (to include University Composition Fees and maintenance for the duration of your course to RCUK minimum level).

Applicants should hold or be about to achieve a First or Upper-Second (2.i) class degree in mathematics or related field. The candidate must be capable of performing independent research and have good communication skills.

This project will involve stochastic modelling of particle-based models, asymptotic methods and numerical solution of partial differential equations (PDEs). Knowledge of probability theory, PDEs, and C++ and Python programming is desired.

Scientific enquiries apart from the formal application should be directed to Dr Maria Bruna at LE17628@maths.cam.ac.uk.

To apply please submit:

(i) a formal PhD application to DAMTP via the Cambridge Graduate Admissions Office, with Dr Bruna identified as the prospective supervisor. Further details on how to apply are available online: http://www.graduate.study.cam.ac.uk/how-do-i-apply.

(ii) a supporting statement explaining why you are interested in this studentship to be sent to LE17628@maths.cam.ac.uk.

Deadline: The deadline for submission for both the formal application and expression of interest is 31 January 2019.

Please quote reference LE17628 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity. The Department would particularly welcome applications from women, since women are, and have historically been, underrepresented on our student cohort.

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PhD Scholarship on Data-driven E-commerce Order Fulfillment, Eindhoven University of Technology

The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research and education community, especially in the field of Operations Management and Operations Research. OM and OR are part of the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics attract top-level students from all over the world. Researchers in the school are member of the Beta research school and participate in industrial activities with members of the European Supply Chain Forum and consortia of research projects.

The group Operations, Planning, Accounting and Control (OPAC) conducts research in the area of Operations Management, with specific emphasis on

Inventory control/Supply chain management
Design and control of manufacturing networks
Transportation management
Maintenance optimization and reliability engineering
Sustainable operations management

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