Fully-funded PhD in computational neuroscience at Nottingham, deadline 31st October

Deadline: October 31st
Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-mark-humphries.aspx

The Humphries’ lab interrogates how the joint activity of many neurons encodes the past, present, and future, in order to guide behaviour. We combine simulations of neural circuits with “neural data science” – the development and use of machine-learning approaches to systems neuroscience data. We are particularly interested in PhD projects on the following research questions:
“Mapping the wires from neural activity”. How to use the next generation of imaging techniques that directly record neuron voltages to accurately infer the wiring between neurons.
“How to write activity into neurons". What features of neural activity should we change with optogenetics in order to test hypotheses about population activity?
“Dynamic control of the striatum in health and disease”. How the influence of the striatal interneurons is controlled by dopamine, and how that influence goes haywire when dopamine is lost in Parkinson’s disease.
For a primer on our research, and our recent publications, visit our lab website: /https://www.humphries-lab.org/

To discuss these or other projects, please contact Prof Mark Humphries (mark.humphries@nottingham.ac.uk).


Professor Mark Humphries | MRC Senior non-Clinical Fellow | Chair in Computational Neuroscience

humphries-lab.org

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Research Associate Position - Machine Learning and Crowdsourcing applied to Fashion data (UK)

Research Associate in Crowdsourcing and Human Computation
Information School, University of Sheffield

Salary: Grade 7: 31,302 - 39,609 GBP per annum

Contract Type: Fixed term until 31 August 2021

Closing date: 13th November 2018

Further details (and to apply):
https://www.jobs.ac.uk/job/BNJ425/research-associate

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Are you interested in working for a world top 100 University?
The FashionBrain project is funded through the H2020 framework programme of the European Commission. The aim of the project is to acquire a deep understanding of customer needs and to predict next trends of Europe’s fashion industry.

The post-holder will undertake research in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation applied to Fashion data. The goals are to improve the quality of Human Computation applications by developing better quality and less expensive crowdsourcing techniques; to develop novel crowdsourcing quality assurance techniques; to understand dimensions like bias and subjectivity and to deal with it developing priming and training approaches for crowdsourcing.

Applicants should hold a PhD in Computer Science or a related field (or have equivalent experience) and have experience of relevant research approaches and methods in the areas of Crowdsourcing, Deep Learning, Machine Learning, and Human Computation

The Information School at the University of Sheffield is recognised nationally and internationally for its world-class research, excellence in teaching, and the achievements of its graduates. It is the leader in its field in the UK, consistently ranked number one in every national Research Assessment Exercise and is a member of the international iSchools organisation, a group of leading cognate schools established to promote the role of the information field in shaping the future of the global information society.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

Follow @sheffielduni and @ShefUniJobs on Twitter for more information about what makes the University of Sheffield a remarkable place to work.

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Several PhD Positions, Nagoya Institute of Technology, Japan

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PhD position opening at Hydrology Meteorology and Complexity laboratory (HM&Co), École des ponts ParisTech

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available masters and postdoc

Postdoctoral fellowship: Applications are invited for a full-time post-doctoral cognitive neuroscientist to assess time perception and temporal cognition in the wilds, during real-life train transports as compared to in the lab. Applications are invited from enthusiastic, rigorous, and daring researchers with significant experience using time-resolved neuroimaging (EEG or MEG), a solid research record in cognitive neurosciences, psychology and/or related fields.
https://brainthemind.files.wordpress.com/2018/10/wildtimes_postdoc_add.pdf


Internships for masters:
Dans le cadre du projet collaboratif interdisciplinaire WildTimes (ANR) impliquant Virginie van Wassenhove (CEA/NeuroSpin, INSERM, Cognition & Brain Dynamics), Simone Morgagni (SNCF, Innovation & Recherche, Expérience & Cognition) et Valérie Gyselinck (IFSTTAR, Psychologie des comportements et mobilités), nous cherchons des étudiants de master enthousiastes pour mener des expériences de psychologie et neurosciences cognitives .
https://brainthemind.files.wordpress.com/2018/10/wildtimes_masters_add.pdf

Best wishes,

Virginie van Wassenhove
https://brainthemind.com/

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Nagoya Institute of Technology (Nitech) is offering a number of fully funded 3-year PhD positions (research assistant) for motivated students from around the globe.



The successful candidates will conduct fundamental research in the following main topics:



Artificial Intelligence (with emphasis on multiagent systems)

Machine Learning (with emphasis on deep reinforcement learning)

Game Theory (with emphasis on stackelberg security games)

Big Data Management and Analysis

Collective Intelligence (with emphasis on smart city applications)

Blockchain and Distributed Ledger Technologies

Internet of Things and Industry 4.0


We are looking for students with experience and interest in any of the topics mentioned above, who have good theoretical and mathematical foundations and who want to help lead the way towards the next generation of AI systems that have the ability to think and learn from humans. The successful candidates will also have the opportunity to collaborate with the world's top researchers in these fields and global industrial partners.
Requirements


Strong analytical skills


Good mathematical skills

Good coding skills

Knowledge of (preferred) or willingness to learn C++, Python and Linux

Background in one or more of the following: Artificial Intelligence,

Multiagent Systems, Machine Learning, Robotics or Game Theory


Strong interest in working on the above-mentioned topics for three years

The ability to work both independently and in small teams

Very good oral and written proficiency in English


Benefits


A custom-tailored curriculum to prepare you for a career in artificial intelligence and machine learning research for universities and companies A creative, diversified, and collaborative working environment in one of the world's most innovative and most livable areas Integration into the NItech AI research center, which offers regular opportunities (courses, workshops, international study trips) for learning more about AI, Machine Learning and closely related topics and linking up with interdisciplinary teams Opportunities for participating in international research conferences and for connecting with scientists and practitioners around the world Additional funding for equipment and travel Competitive compensation English speaking work environment
Work duties


The successful candidate will be employed as a research assistant at Prof. Takayuki Ito Lab. He/She is expected to work on one of the several research projects in the research areas that are mentioned above. At the same time, he/she will be enrolled as a full-time PhD student at the Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology.
Assessment criteria


The assessment of the candidate potential is made primarily on the basis of academic results. Special attention is paid to the following. Knowledge and skills relevant to the above mentioned research topics. An assessment of the ability to work independently and to formulate and tackle research problems. Written and oral communication skills Other experience relevant to the research topics, e.g. professional experience. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the PhD programme.

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PhD positions are available for students interested in interdisciplinary research in the area of visual attention. Students will be able to work with neuroscience faculty at Dartmouth College in Hanover, NH and Montana State University (MSU) in Bozeman, MT on a collaborative project funded by a multi-site (Dartmouth, Brown, Montana State and the University of Nevada at Reno) NSF EPSCoR award to study the neural bases of visual attention. Participating students will receive training at both Dartmouth and MSU and have apple opportunity to travel to other participating universities for additional training and/or scientific collaboration. Successful students will receive a MS in Neuroscience from MSU and a PhD in from Dartmouth.

Applicants should have training in neuroscience, cognitive science, computer science/math or a related field. Prior research experience and computer skills (Python and/or Matlab) are preferred.

For more information about this training opportunities, please contact Peter Tse (Peter.U.Tse@dartmouth.edu) at Dartmouth or Jamie Mazer (james.mazer@montana.edu) at MSU, or stop by our booth at the SFN Graduate Student Fair next week in San Diego at the SFN meeting.

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ZHAW Zurich University of Applied Sciences is one of the leading universities of Applied Sciences in Switzerland. For our Applied Cognitive Science Division, which is part of the School of Applied Psychology that serves as a center of excellence in its field of teaching and transformational research, we are looking for a
PhD Student (100 %, 3 years)
You will be working in projects (e.g. SNF-founded) on improving human decision-making in areas such as nutrition, energy and politics with, for example, the help of visualizations.

Areas of responsibility will include:
planning, programming (Matlab and / or Unipark) and conducting experiments
literature research
data analysis (SPSS, R)
writing scientific publications (incl. PhD-thesis)
presenting at conferences
administrative duties
We are looking for a person with a university degree in psychology (MSc or comparable degree) and a strong affinity for cognitive science (attention, perception, decision-making, etc.) as well as research methods and statistics. Additionally, a good knowledge of English is requested. We also accept applications from native English-speaking persons or students from abroad. Last, but not least, we are looking for a team-player, who can also work independently and has profound IT user knowledge (strong demand of all office applications).
Do you have any other questions?
For more information, please contact Prof. Dr. Ester Reijnen, Head of Division, Tel. 058 934 83 14. Further information can be found under www.zhaw.ch/psychology.

Are you interested?
If you would like to apply, please use the online platform to send us your portfolio, Attn. Franziska Burg, HR Consultant at Zürich. Please note that we only consider applications via the online platform and therefore do not process applications submitted by post or e-mail.

Apply Now

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Postdoc positions in STS and related fields at Nanyang Technological University, Singapore

The College of Humanities, Arts, and Social Sciences, Nanyang Technological University invites applications from eligible candidates to join us as Postdoctoral Fellows for the Academic Year 2019.

Applicants are required to propose a reseach project, to be carried out during their term as Postdoctoral Fellows. The research project should be in a topic that is of interest to one or more of the Schools within the College. For more information on the research areas within each School, please visit the Schools' websites listed below:

School of Art, Design, and Media (ADM),
School of Humanities (SoH),
School of Social Sciences (SSS)​, and
Wee Kim Wee School of Communication and Information (WKWSCI).

More Info

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One fMRI MVPA Post-Doc (very competitive salary) 5 year position available under an ERC Starting Grant on the organization of object knowledge

The Proaction Laboratory (Perception and Recognition of Objects and Actions;http://gaius.fpce.uc.pt/pessoais/jorgealmeida/proaction_home.html; Jorge Almeida’s Lab) at the University of Coimbra (www.uc.pt), Portugal is looking for a motivated and bright Post-doctoral researcher to work on an ERC Starting Grant project (ContentMAP) on the neural organization of object knowledge. In this project we will explore how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation.

Excellent understanding of and experience with fMRI and data analysis is required. Strong programming skills (matlab, python, etc.) are also a requirement. Experience with data analysis techniques using MVPA and other multivariate approaches (e.g., Representation Similarity Analysis). Very good English (oral and written) communicative skills are necessary.

The position is for a maximum of 5 years, and will start in February 2019. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring.

The salary is extremely competitive – between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York).

The researcher will work directly with Jorge Almeida in Coimbra, but the laboratory has extensive collaborations with researchers throughout the world. In fact, there may be the option of spending some time in another lab as part of the position. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended.

We have access to a 3T MRI scanner with a 32-channel coil (with EEG inside the scanner), to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain.

The deadline for the application is NOVEMBER 20, but you should apply as soon as you can, as we may fill in the positions sooner than the deadline if there are candidates with a superb fit with the requirements and project. The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject “Post-doc position underERC - ContentMAP” with yourcurriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position) to:jorgealmeida@fpce.uc.pt.

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GWIS National Fellowships in natural sciences for Women,
PhD, United States

APPLICATION GUIDELINES
The GWIS National Fellowships Program is proud to offer fellowships in 2019 to help increase knowledge in the natural sciences and to encourage research careers in the sciences by women. Endowment funds, mostly generated from bequests, provide the annual income that supports scientific research done by GWIS award winners. For the 2018-2019 funding cycle, we distributed approximately $50,000 in fellowships funds to five deserving women scientists.



The Fellowships are known as the Sigma Delta Epsilon (SDE), Eloise Gerry, Ethel K. Allen, Vessa Notchev, Jean Langenheim, Monique Braude, Nell I. Mondy, Elizabeth Weisburger, and Hartley Corporation Fellowships. The highest scoring SDE Fellowships designee shall be known as the Adele Lewis Grant/SDE Fellowships winner and the second-highest scoring designee shall be known as the Hartley Corporation/SDE Fellowships Winner. The funds available in any one year shall be the income from and contributions to the endowment accounts. The amount thus varies from year to year. The Fellowships Committee reserves the right to make no awards if no satisfactory applicants present themselves.



REVIEWER FEEDBACK
Applicants can view reviewer feedback on the GWIS Fellowships submissions portal. Simply log in, click on the application, and then click on the arrow on the right side of the "Reviewer Feedback" section. The comments associated with each review can be viewed by clicking on the eyes to the right side of the box.

More Info

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Postdoc position in Neural Machine Translation (CIS, LMU Munich)

I am expanding my research group, which is located at the Center for Information and Language Processing at the University of Munich (LMU).

This is a postdoc level position and it currently has one year of full-time funding from my ERC Starting Grant.

Candidates will focus on cutting edge research into using deep learning techniques to solve machine translation (neural machine translation). The group is a well-known machine translation research group with strong interests in related natural language problems. The working language of the group is English, no knowledge of German is required. The three main focuses of the group are in neural machine translation: 1) domain adaptation 2) adding linguistic information to character NMT 3) unsupervised NMT.

Candidates will have possibilities to teach, supervise bachelors/masters students, and to collaborate on grant applications.

CIS has an active community working on cutting-edge natural language processing. There will be significant interaction with the research groups of Hinrich Schütze (deep learning and a variety of NLP problems) and Helmut Schmid (neural machine translation, parsing, tagging, morphology). We also have several active collaborations with colleagues at other universities.

The University of Munich is one of the top research universities in Europe. It was the highest ranked institution on several measures in the Exzellenzinitiative funding program organized by the German national science foundation in 2012.

Munich and the Upper Bavaria area are among the regions in Europe with the highest quality of living. The area is also home to a large number of high-tech, service and manufacturing companies, including many that use NLP technology.

If you are interested in applying please send me:
* a cover letter. Clearly indicate which position you are applying for and include possible starting dates.
* a CV
* a short research plan addressing past, current and future interests
* a brief statement of teaching experience and interest
* the names and addresses of two references

Please submit applications for this position as soon as possible, it is open until filled. This particular position requires a PhD with extensive experience in neural machine translation or a closely related problem involving machine learning, candidates with other backgrounds cannot be considered.

LMU is an equal opportunity employer and is committed to increasing the diversity of its staff. We strongly encourage applications from qualified women. Applicants with disabilities will be given preference in case of equally qualified candidates.

Thanks,
Alexander Fraser
--
Prof. Dr. Alexander Fraser
University of Munich (LMU)
Center for Information and Language Processing
Oettingenstrasse 67
80538 Munich
Germany

Email: fraser@cis.uni-muenchen.de
Web: http://www.cis.uni-muenchen.de/~fraser

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Department of Mathematics, Ruhr-University Bochum
Position ID: 2009-PHD [#11911]
Position Title: PhD Position
Position Type: Student programs
Position Location: Bochum, Nordrhein-Westfalen 44801, Germany [map]
Subject Areas: Mathematical Statistics, Machine Learning, or Biostatistics
Application Deadline: 2019/04/15 (posted 2018/04/18, listed until 2019/04/15)
Position Description:
The Department of Mathematics at the Ruhr-University Bochum offers a position as a Scientific Employee, TV-E13 75%, leading to a PhD.
The topic may include Mathematical Statistics, Machine Learning, or Biostatistics. The position is available from summer 2018.

We are looking for applicants with a degree in Mathematics, Physics, Computer Science, or similar. We expect excellence demonstrated in grades or projects.

We encourage applications from groups underrepresented in the sciences.

To apply, sent an email with CV and transcript until 15.5.2018 to:

Prof. Dr. Johannes Lederer datascience@rub.de www.johanneslederer.com


This employer is not accepting applications for this position through Mathjobs.Org. Please see the job description above on how to apply.
Contact: Prof. Dr. Johannes Lederer
Email:
Postal Mail:
Wasserstr. 221, 4.33
44801 Bochum

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Professor Stefano Ermon is seeking an outstanding researcher for a postdoctoral position at the Stanford SUSTAIN group (http://sustain.stanford.edu/). The postdoc will carry out Machine Learning research on a broad range of topics, including learning with limited supervision, spatio-temporal modeling, learning from multimodal data, and computer vision applications. The postdoc will have the opportunity to collaborate with other researchers across disciplines at Stanford, particularly those working on areas of sustainable development as part of a Data for Development Initiative. We welcome applications from candidates with diverse educational backgrounds.

Required qualifications:
A Ph.D. (completed by start of employment) in Computer Science, or an relevant area
Training in Machine Learning and Artificial Intelligence
Experience with programming (e.g., Python)

Desired qualifications:
Experience in interdisciplinary research, working in collaborative teams, and managing research assistants
Experience with deep learning tools (e.g., TensorFlow, PyTorch)
Experience with remote sensing data is a plus

Duration: This is a one-year position with the expectation of renewal for additional years conditional on performance.

To apply: Applicants should upload their C.V. and research statement, and arrange for at least two letters of reference to be submitted by email at stanfordcspostdocapplication@gmail.com. Review of applications will begin immediately and will continue until the position is filled.

Stanford University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. Stanford University is an E-Verify Employer.

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Dear colleagues,

I am looking for a PhD student staring at Boston University in Fall 2019.

I currently have two projects:

In the first project we will determine whether the Mississippi delta is able to survive sea level rise. We will use the model Delft3D coupled to new remote sensing data collected by NASA. A large scale campaign organized by several universities will provide field data to inform the model. https://www.bu.edu/earth/2018/09/26/sergio-fagherazzi-and-cedric-fichot-join-the-newly-funded-nasa-delta-x-team-to-study-the-future-of-the-mississippi-delta/

The second project explores the conversion of coastal forests to salt marsh triggered by sea level rise. Together with a group of ecologists from different universities, we will carry out a large scale experiment by cutting pine trees near the marsh boundary at the Virginia Coast Reserve LTER ( https://www.vcrlter.virginia.edu/home2/ ). The goal is to determine whether removal of trees will trigger an ecological shift to salt marsh vegetation. Our group is in charge of the hydrological component: we will install a suite of instruments to measure groundwater level and salinity, soil moisture, precipitation, light availability, etc., for 5-10 years.

The PhD is fully funded for five years; the deadline for the application is December 19 2018. More information about the PhD program at Boston University can be found here https://www.bu.edu/earth/education/graduate/

For questions you can contact me at sergio@bu.edu

Sergio Fagherazzi
Department of Earth and Environment, Marine Program
Boston University
675 Commonwealth Avenue
Room 141H
Boston, MA 02215
sergio@bu.edu
people.bu.edu/sergio

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PhD Position in Biomedical Engineering

100 %

You are excited about how a cardiac catheter can treat a patient's heart during a minimal-invasive approach allowing the patient to recover within the following day? In close collaboration with our industrial and clinical partners, the Swiss Institute for Translational and Entrepreneurial Medicine (sitem-insel) at the University of Bern pursue a new approach for the development of a coronary balloon catheter. We are offering a funded PhD position with the possibility to work at the forefront of biomedical engineering on cutting-edge cardiovascular technologies.

Tasks
Current percutaneous transluminal coronary angioplasty (PTCA) catheters are highly sophisticated tools in the field of cardiovascular technologies. Constantly rising demands on the catheter's quality, reliability, performance and cost-effectiveness is increasingly challenging in the field of catheter development. To tackle these challenges, it is the goal to develop a new catheter design and investigate on new production methods within the next three years. In a scientific approach and in close collaboration with the industrial partner, the candidate will

conceptualize a catheter design with respect to given requirements
evaluate suitable manufacturing technologies and materials
perform in-silico experiments to support the design and manufacturing phase of the catheter
build physical prototypes
develop and utilize mock experiments to test the catheter's features, structural integrity and performance

Requirements
You have a master's degree in Biomedical Engineering, Mechanical Engineering, Plastics Engineering or Microtechnology. A strong mechanical background will be preferred. You should be enthusiastic for conducting research on cardiovascular technologies and micro mechanical systems. Knowledge in plastic materials and manufacturing methods is an advantage. Interest in analytical and practical experimental work in close collaboration with engineers and physicians is a prerequisite. You are fluent in spoken and written English. German knowledge will be an advantage. You have an independent and self-motivated work style, good communication skills and strong team-working abilities.

We offer
A PhD position in an interdisciplinary and dynamic team of engineers and physicians, where creative and innovative work is highly appreciated. The position provides the opportunity for the candidate to be involved in the development of cutting-edge cardiovascular device technology. The PhD candidate will have the opportunity to present results at international conferences and renowned peer-reviewed journals. The position is fully funded for three years. The salary is according to the terms of the Swiss National Science Foundation (www.snf.ch). The position is available immediately; the starting date is negotiable.

Contact
We are looking forward to receiving your application including cover letter, CV and certificates via e mail to Dr. Adrian Zurbuchen (University of Bern, Medical Faculty, sitem-insel, Schwarztorstrasse 56, 3007 Bern, adrian.zurbuchen@med.unibe.ch)

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Research Fellow in Demography & Health at London School of Hygiene & Tropical Medicine

An exciting opportunity is available for an ambitious demographer, statistician, or epidemiologist with the Network for Analysing Longitudinal Population-based HIV data on Africa (ALPHA Network). The ALPHA network brings together ten collaborating African research institutes that conduct population-based HIV surveillance in eastern and southern Africa and is coordinated by the London School of Hygiene & Tropical Medicine (LSHTM). Among others, the ALPHA Network harmonizes diverse data sets into a common format so as to conduct comparative studies and meta-analyses on pooled data sets.



The Research Fellow in Demography & Health will join a team of analysts in London to work on a 3-year research project, funded by the Bill and Melinda Gates Foundation to estimate HIV incidence and mortality, and in the comparison of population-based estimates with those emanating from routinely collected data in health facilities.

The successful applicant must have a PhD in the relevant subject, including demography, medical statistics, epidemiology, or reproductive health (or equivalent working experience in these fields); expertise in the analysis of large and complex (longitudinal) datasets; proven ability to use statistical analysis software (preferably Stata or R); and strong quantitative skills, preferably in the area of demographic estimation. Further particulars are included in the job description.



This full-time position is available as soon as possible for the duration of one year, with the possibility of further extension. It will be based in London in the Faculty of EPH and in the Department of Population Health, at Keppel Street, Bloomsbury. The salary will be on the Academic pathways Grade 6 scale in the range £39,304 - £44,634 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available.

The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.



Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.



Applications should be made on-line via the website. The reference for this post is EPH-DPH-2018-13. Applications should include the names and email contacts of two referees who can be contacted immediately if shortlisted. Any queries regarding the application process may be addressed to this Email. Inquiries about the position can be directed to Georges Reniers or Emma Slaymaker.


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Multiple Postdoctoral Positions @ University of Alabama

The Department of Civil and Environmental Engineering and the Center for Complex Hydrosystems Research (CCHR) at the University of Alabama seek outstanding applicants for multiple postdoctoral scholar positions. The successful candidates will support hydrologic modeling at local, regional and continental scales, state-of-the art data assimilation, machine learning, flood and drought monitoring and forecasting, flood inundation modeling, and the use of soil moisture and snow remote sensing data for the above. It is expected that candidates have strong statistical and quantitative background, strong programming skills in Python or Matlab, good command in using Linux and data management, and strong skills in written and oral communication of research results.



It is highly desirable that candidates have competence in data intensive research, high performance (parallel) computing and deep learning. Working knowledge with models such as Noah-MP, WRF-Hydro/ National Water Model, and VIC is viewed favorably.



The post-docs will be expected to write scientific papers, technical reports and present research results, and assist in developing proposals for external funding. The positions provide great opportunities for research, education, and professional development. This is a fixed-term position with opportunities for annual renewal based on satisfactory performance.



To be considered for these positions, applicants should upload a cover letter, curriculum vitae, two representative publications, and contact information for at least two references via this link https://facultyjobs.ua.edu/postings/44208.



Review of applications will begin immediately, and priority is given to applications received by November 30, 2018. The intention is to hire by end of this year, however, the search will continue until the positions are filled. For questions, please contact Dr. Hamid Moradkhani (hmoradkhani@ua.edu).

Please feel free to share these openings with interested applicants.
Hamid Moradkhani, PhD, PE, F.ASCE
Alton N. Scott Professor of Engineering
Director, Center for Complex Hydrosystems Research
Department of Civil, Construction and Environmental Engineering
The University of Alabama

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European Doctorate in Law and Economics

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Post-doc in NLP and ML at Macquarie University/Data61 in Sydney, Australia

The NLP/ML group in the Dept of Computing at Macquarie University, Sydney, Australia is recruiting a post-doctoral researcher for a joint research project "Information Extraction and Parsing Methods for Government and Enterprise Applications" on information and relation extraction involving Macquarie University, CSIRO's Data61 and the University of Edinburgh. The project uses syntactic parsing and deep learning to extract "who did what to whom when" from a large corpus of texts. The research involves integrating information extracted from multiple texts and using this information in creative ways, e.g., building event time-lines for individuals, learning entailments between predicates and relations, etc.

The post-doc will report to Professor Mark Johnson in the Department of Computing, Macquarie University and Dr Stephen Wan of CSIRO's Data61, Marsfield, and will be collaborating with Professor Mark Steedman of Edinburgh University.

You will need to have a PhD and strong research record in NLP and ML, especially Deep Learning. You will need to show proficiency with Deep Learning toolkits such as TensorFlow and Pytorch. Applications close on the 5th December 2018. For further information and to make an application see the official advertisement on http://jobs.mq.edu.au/cw/en/job/504833/postdoctoral-research-fellow.

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