News

We are seeking enthusiastic applicants for a Post-Doctoral Fellowship position to help with the collection and analysis of large brain-imaging datasets. The successful candidate will use state-of-the-art artificial intelligence methods, with the aim of better understanding psychiatric disorders in young people with mental illness, particularly anxiety and depression. Our goal is to understand better the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients.

The successful candidate will develop and apply deep learning algorithms to multi-modal imaging datasets that include MRI (functional, structural), EEG, MEG, and associated behavioral and clinical data. The methods developed by the successful candidate will be used to:

– Integrate these diverse sources of information.

– Inform the construction computational models in psychiatry.

– Test the validity of such models.

Requirements: 

Candidates with a strong computational background (e.g. PhD in Engineering, Physics, Computer Science, Mathematics, Statistics, Computational Neuroscience, and related areas) who are interested in brain development and psychopathology, are particularly encouraged to apply. Requirements for this position include:

– Strong machine learning experience;

– Programming experience in Python (preferably), or in R/Matlab/Octave;

– Experience with open source machine learning libraries such as Scikit-learn, Theano, and/or Tensorflow;

– Excellent interpersonal and written (English) communication skills.

Background experience in psychiatry or knowledge of neuroimaging software are not required. However, the candidate will be expected to learn some of these topics as part of their role in our research group.

The successful candidate will work jointly with the laboratories of Drs Daniel Pine and Argyris Stringaris, and together with Dr Anderson Winkler, Staff Scientist. Please write to Drs Pine (pined@mail.nih.gov), Stringaris (argyris.stringaris@nih.gov) or Winkler (anderson.winkler@nih.gov) with your application and CV.

Job category

Postdoctoral position

The Mathematics and Modeling Department at Schlumberger Doll Research (SDR) is investigating the development of state of the art data science methods to measurement data pertaining to complex problems in the development of oilfields. The data are acquired inside wells using multi-physics measurements ranging from electromagnetic (optical, NMR, low-frequency EM, resisitivity) to acoustical (ultrasonic, sonic, seismic).

Schlumberger-Doll Research (SDR) is the prime corporate research center for Schlumberger, the world’s leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide. SDR hosts more than 110 scientists working in various fields including geophysical measurements, geosciences, and computational sciences. SDR is located in Cambridge at minute-walking from many landmark buildings such as MIT CSAIL Stata center. Several dozen interns are hosted each summer at SDR. Previous interns have highlighted the working environment, camaraderie, diversity in expertise and domains of interest, learning about new technical challenges, the cafeteria and the outside activities offered in Cambridge as prime elements they enjoyed during their stay at SDR. Internships have often lead to presentations, conference and journal publications as well as patent applications.

Applicants should send a brief letter of intent and resume via E-mail to SDRJobs@slb.com with the reference MM-SZ.

Schlumberger is an equal opportunity employer and is committed to the diversity of its workforce.

Responsibilities and Qualifications:
The intern will work within a multi-disciplinary team to adapt and implement new 3D low frequency finitie-difference EM solver for 3D oil reservoir characterization and real-time reservoir mapping and navigation.

The 3D solver needs to be paralllelized and optimized for performance on multicore Windows and Linux platforms and on GPUs. The will be interfaced to imaging inversions.

The successful summer intern has a stronger background in HPC, fortran, and experience with optimizing computational algorithms. Familiarity with PDE solvers and computational electromagentics is preferred.

Advanced undergraduate or graduate (MS/PhD) student in Applied math, CE, CS, EE, ME, or related fields with courses, and preferably thesis work, related to the subject domain.

Job category

Summer Internship: 3D EM solver optimization

Location

Schlumberger Doll Research (SDR), Cambridge, MA, USA

The Workforce Development team from SGCI offers eight-week summer internships for students interested in developing their gateway development skills. Participants will be placed at one of the seven universities that form the SGCI partnership, or a specific site can be suggested by an SGCI client, partner, or others who are interested in hosting a student intern.

Eligible applicants include graduate students majoring in computer science or computer engineering (or related fields) at any level and undergraduates majoring in computer science or computer engineering (or related fields) who have completed their junior year and who demonstrate strong programming and software engineering skills.

Participants will receive a stipend, plus housing and transportation. Interns will be required to attend the Gateways 2018 conference, for which Workforce Development will provide funding. Attending PEARC18 is recommended, but not required. Funding will be provided by Workforce Development to interns who decide to attend.

Learn more about the internship opportunity by reading these blog posts written by some of the students who worked as SGCI interns during summer of 2017:

• Joel Gonzalez-Santiago interned at Purdue University
• Jacob Harless interned at the College of William and Mary
• Hagen Hodgkins interned at Purdue University
• Tatyana Matthews interned at the Texas Advanced Computing Center

Summer 2018 Gateway Development Internships

Application deadline

April 27, 2018

The Science Gateways Community Institute will host a Summer 2018 workshop that will be a four-week Coding Institute for undergraduate students that will take place on the campus of Elizabeth City State University. The workshop will cover the core skills needed to be productive in the design and maintenance of science gateways. The program will be presented as short tutorials alternated with practical experiences, and all instruction will be done via live coding.

Eligible applicants are undergraduate students majoring in computer science or computer engineering (or related fields) who have an interest in the design and maintenance of science gateways. Ten participants will be selected for the Coding Institute. Participants of the Coding Institute will receive a weekly stipend of $500 plus funding for transportation and housing. All selected participants will be required to attend both the PEARC18 and Gateways 2018 conferences. Funding to attend both conferences will be provided by SGCI’s Workforce Development.

Minimum Requirements:
•Undergraduate majoring in Computer Science or Computer Engineering (or related fields) and have an interest in the design and maintenance of science gateways

Job category

Coding Institute Workshop

Location

Elizabeth City, NC

Application deadline

April 27, 2018

We are looking for motivated individuals interested in learning cutting-edge technologies to help us develop, prototype and test SLATE: Service Layes At The Edge, a collaborative project between the University of Michigan, University of Chicago and the University of Utah.  The SLATE team is working to deliver a new platform for scientific cyberinfrastructure (see http://slateci.io/). Building upon container-based technologies (e.g. Docker, Kubernetes, Helm, …) we aim to create a distributed environment where scientific collaborations can create, deploy and operate the tools they need to manage their data collection, distribution, and processing.

The successful candidate will help to take existing applications and package them in a way that can be readily used within the platform so that the details of installation, configuration, and operations of the application are taken care of for the scientific user. The candidate will learn how to use the latest container technologies and how to use them to solve concrete problems. The position will pay 12-15$ an hour based on experience for 20-30 hours a week depending on availability of the candidate.

Minimum Requirements:

* Basic experience with Linux administration

Preferred Requirements:

* Experience with source control (e.g. git)

* Experience with virtual machine technology (e.g. VirtualBox)

* Experience with container technology (e.g. Docker)

If interested, please send your CV to Brock Palen brockp@umich.edu

Toyota Research Institute of North America, located in Ann Arbor, Michigan, is seeking a machine learning scientist to support the in-house research activities. This individual will join a team responsible to develop state-of-art methodologies for material informatics. The position requires staying abreast of emerging field of machine learning, performing original research, publishing/presenting results, involve in collaborative research. Candidate must be able to work effectively with a diverse group of scientists.
The position is subject to annually contract renewal.

Key Responsibilities:
• Develop machine learning models to deal with problems/challenges in material informatics;
• Establish tools to collect and structure materials data and harvest valuable information
subsequently;
• Perform text mining from scientific literatures and internal technical documents;
• Frequently communicate with materials scientist within the organization;
• Effectively respond to the challenges emerging in materials project;
• Regularly report and present to the research team and managements;

Minimum Requirements:
• MS or above degree in Computer Science, Statistics or related technical field or equivalent
practical experience;
• Strength with machine learning and text mining techniques;
• Fluency in programming languages (Python, C/C++, Java);
• Hands-on experience with statistical software (R, SAS, Matlab, Python);
• Strong verbal and written communication skills;
• Self-motivated, intelligent individual with initiative and drive for overcoming technical
challenges;

Preferred Requirements:
• Experience with deep learning techniques;
• Experience in projects related to materials science, chemistry and physics;
• Established capability in scientific writing and presentation;

The applicant should send the resume to chen.ling@toyota.com before February 9, 2018.

Job category

Machine Learning Scientist

Location

Ann Arbor, MI

Application deadline

February 9, 2018

The Mechanics and Computation Group (Department of Mechanical Engineering) at Stanford University is seeking applicants for the “Stephen Timoshenko Distinguished Postdoctoral Fellowship.” This appointment is for a term of two years, beginning in September 2018.

The Stephen Timoshenko Distinguished Postdoctoral Fellow will be given the opportunity to pursue independent research in the general area of solid mechanics, as well as to contribute to ongoing research in the Mechanics and Computation Group. Research activities should be in the field of solid mechanics interpreted broadly, including areas such as additive manufacturing, micro- and nano-mechanics, bio-mechanics, and related research directions such as applications of machine learning. Candidates will be given opportunities to develop their teaching experience by designing and teaching a class in the mechanics curriculum. This position might be of particular interest to candidates who are seeking an academic career.

Candidates are expected to show outstanding promise in research, as well as strong interest and ability in teaching. They must have received a Ph.D. prior to the start of the appointment, but not before 2016. Applicants should send a cover letter (one page); a curriculum vitae; a list of publications; brief statements of proposed research (up to three pages) and teaching (one page); the names and contact information of three recommendation letter writers.

For full consideration, applications must be completed no later than 11PM PST, Sunday March 4, 2018. However, applications will continue to be accepted until the position is filled.

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research and teaching missions.

Please send your application by email to:
Norma Costello, normac@stanford.edu, 650 723-4133
Email subject: Stephen Timoshenko Distinguished Postdoctoral Fellow search
All documents attached to the email should be PDF (Portable Document Format).

For updates see https://mechanics.stanford.edu/hiring.

Job category

Postdoctoral Fellowship

Location

Stanford University

Application deadline

No later than 11 p.m., Sunday, March 4, 2018

The NASA Posdoctoral Program provides fellowships to conduct cutting-edge research at NASA Centers and NASA-affiliated research institutes, and is offering Postdoctoral and Senior Fellowship positions.

Research areas include aeronautics and engineering, astrobiology, astrophysics, biological sciences, cosmochemistry, earth science, heliophysics science, planetary science, technology development, and science management.

Appointments up to three years, and stipends begin at $53,500 increasing depending on locality and seniority. $8,000 is granted for support of professional travel per year. Health insurance and relocation assistance available.

Applications are due by March 1, July 1, November 1, 2018. Please see npp.usra.edu for more information. Women, minorities, and members of underrepresented communities are encouraged to apply.

Job category

Postdoctoral Fellow, Senior Fellowship

Location

N/A

Application deadline

March 1, July 1, November 1, 2018

The Department of Mechanical & Materials Engineering at the University of Nebraska-Lincoln (http://mme.unl.edu) invites applications for two tenure-track faculty positions at the Assistant Professor level in the areas of (1) dynamics, systems, and design, or (2) thermal/fluids sciences and energy  conversion. Successful candidates are expected to develop an externally funded research program in emerging areas which may include: robotics and automation, micro/nanoscale thermal/fluids, optimal design, additive manufacturing, and micro/nanotechnology device development. The successful candidates will contribute to the undergraduate and graduate academic programs within the department and demonstrate a commitment to excellence in both teaching and research.

Applicants are expected to have a Ph.D. or equivalent in mechanical engineering or a closely related field. Applicants should have a record of strong scholarly achievement and a demonstrated commitment to excellence in undergraduate and graduate education with the potential to establish a strong externally-funded research program.

Please see https://employment.unl.edu/postings/56098 for more information on how to apply.

Job category

Assistant Professor

Location

Lincoln, Nebraska

The Rice University Department of Civil and Environmental Engineering invites applications for a tenure track assistant professor position in the area of Coastal Resiliency. We seek candidates with expertise and interest in interdisciplinary research that contributes to enhancing the resilience of urban communities and infrastructure systems to the impacts of coastal natural hazards and climate change. Areas of interest include, but are not limited to: (1) urban hydrology, water resources, urban flood analysis, and coastal hydrodynamics; (2) modeling of natural hazards, infrastructure systems, and risk assessment in coastal settings; (3) and state-of-the-art remote sensing techniques. The successful candidate is expected to establish a rigorous, externally funded research program, to teach core courses and develop undergraduate and graduate courses within their area of expertise, advise graduate students, collaborate with other faculty, and be involved in service to the university and the broader scientific community.

Applicants must have earned a Ph.D. degree in Civil /Environmental Engineering or a related field, demonstrate excellence in research, display distinction (or potential for distinction) in teaching, and be able to collaborate across disciplines.

To apply, please submit materials in electronic form through the Rice Application Portal via this link:
http://jobs.rice.edu/postings/12464

Please see http://www.usacm.org/jobs/133 for more information.

Job category

Assistant Professor

Location

Houston, TX