Jobs/Internships
The IIT is currently accepting applications for a postdoc and a PhD position, in the areas of Operations Research and Machine Learning under the direction and supervision of Prof. Sara Lumbreras.
About the Institute:
The IIT is a unique multidisciplinary centre with over thirty years of experience in areas including mathematical modelling and Artificial Intelligence, with intense participation in the power sector. The IIT belongs to Universidad Pontificia Comillas, a university located in the city center of Madrid, Spain, with a tradition in Engineering that extends for over a century.
Duration:
Three years. The selected applicant should start by March 2022 but can start immediately if he/she so prefers.
Compensation:
Competitive compensation is offered. More details can be found at www.iit.comillas.edu/contratosIeF/…
Requirements for the PhD position:
- An Engineering degree (MSc), a Mathematics degree or a Computer Science one, with basic knowledge of Optimization (LP, MIP) and basic knowledge of Machine Learning.
Requirements for the postdoc position:
- PhD in Engineering, Mathematics or Computer Science, with advanced knowledge of Optimization (LP, MIP) and basic knowledge of Machine Learning Experience in model development (GAMS or Pyomo)
- At least one publication related to Optimization in an indexed journal.
For both:
- Fluent English level, and very good academic record.
- Good writing skills.
- Resilience and a taste for discovery.
Project abstract:
The project will focus on the explainability of Mathematical Optimization models in terms that can be understood by the humans responsible of the decision. The research work will require a theoretical component and a practical one, where the candidate will have the opportunity to get to know the power sector in the applications of the method. He/She will be integrated into an interdisciplinary team where he/she will grow in experience and knowledge in a fast-growing research field that is expected to grow in prominence in the next few years.
Required documents:
Curriculum Vitae, academic record, cover letter and two recommendation letters.
contact: slumbreras@comillas.edu
The Department of Mechanical Engineering (ME) invites applications for a tenure-track faculty position, starting September 1, 2022. Although candidates at the Assistant Professor rank are preferred, candidates with exceptional experience and qualifications may be considered at the rank of Associate Professor.
The Department of Mechanical Engineering (ME) currently enrolls about 1000 students and offers a full range of educational programs, from undergraduate to Ph.D. levels, in the areas of mechanical, bio-, automotive, and materials engineering. A new 123,000 square foot state-of-the-art laboratory building opened by the College of Engineering and Computer Science in 2021 and other facilities offer excellent opportunities for research and teaching. The Department has 26 full-time faculty members and expects a period of dynamic growth with active strategic hiring over the next several years. The department and College of Engineering and Computer Science value a culture of diversity, equity, and inclusion. We are committed to the development of diverse and culturally intelligent faculty who thrive and contribute to a positive and inclusive environment.
Qualifications:
Applicants must have a Ph.D. in mechanical engineering or a closely related field. Special consideration will be given to candidates with expertise in integration of design with manufacturing. Excellent teaching and communication skills as well as demonstrated research potential are essential.
The successful candidate is expected to teach undergraduate and graduate courses in the areas of design, solid mechanics, and manufacturing, establish a sustainable research program, make significant scholarly contributions to their discipline, be an effective teacher and mentor of both undergraduate and graduate students, and engage in institutional and professional service.
Applications:
Applicants should send a cover letter; curriculum vitae; statements of teaching, research interests, and diversity; and names and contact information for four references through Interfolio at http://apply.interfolio.com/93514.
The review of applications will start on October 15, 2021, but applications will be accepted until the position is filled.
The University of Michigan-Dearborn is an equal opportunity/affirmative action employer.
PVL #239792
Assistant Professor: University of Wisconsin- Department of Mechanical Engineering Position Summary:
The Department of Mechanical Engineering at the University of Wisconsin-Madison seeks to fill four new faculty positions in two focus areas (1) machine learning, AI, and data-driven approaches to modeling, simulation, and design; and (2) robotics, controls, and automation.
The first focus area is tied to the topics of data-driven approaches, artificial intelligence, and machine-learning as manifested in design, modeling, and simulation within Mechanical Engineering. The department is particularly interested in candidates whose research in this focus area can address fundamental challenges in topics including but not limited to: topological design; human-centric product design; simulation of large-scale, complex dynamical systems; design of cyber-physical systems; control of dynamic systems; multi-physics modeling and simulation; reduced order modeling; and high dimensional optimization.
The second focus area of interest is tied to the broad topics of robotics, controls, and autonomous systems. The department is particularly interested in candidates whose research is focused on the design, modeling, dynamics, and control of robotic systems. Research in these areas would lead to
breakthroughs in challenging applications such as: autonomous robots and vehicles operating in complex and unstructured environments; manipulation in complex tasks; mobility in water, air, land, or space environments; and human-robot cooperation. The department is particularly interested in candidates who, by drawing on a strong analytical foundation, would leverage the experimental assets in the College of Engineering’s new Robotics and Autonomous Systems facility to solve societally impactful engineering problems.
The UW-Madison College of Engineering strives to foster a respectful, diverse, equitable, and inclusive environment. Candidates with specific goals and plans that advance this mission are strongly encouraged to apply.
Requirements:
PhD in Mechanical Engineering or a closely related field, with demonstrated excellence in research and teaching.
Principal duties:
Teaching and developing undergraduate and graduate courses; mentoring graduate students and supervising their research; developing and directing a strong, extramurally funded research program; participating in departmental and university faculty governance; and contributing to professional and public service.
Please see full position description, requirements, and application instructions in the official position vacancy listing: https://jobs.hr.wisc.edu/en-us/job/510307/assistant-professor .
Department of Mechanical Engineering
Room 2107, Mechanical Engineering Building • 1513 University Avenue • Madison, Wisconsin 53706
| September 2021 |
The College of Engineering and Integrated Design (CEID) at the University of Texas at San Antonio (UTSA) is seeking applications for two Assistant Professors in the field of Manufacturing, Industrial and/or Systems Engineering. The full-time, tenure-track positions, with primary appointments in the Department of Mechanical Engineering will begin in August 2022 and salary will be commensurate with qualifications.
We are interested in candidates with strong expertise in any of the following areas: Operations Research, Data Science, Supply Chain Network Design, and Advanced/Intelligent/Smart Manufacturing. Collaboration with government and industry, along with the wide array of centers and institutes at UTSA is expected. Research aligned with national priorities such as decarbonization of manufacturing; securing supply chain networks, bulk power systems, and/or critical infrastructure is desired. In particular, collaboration with the Cybersecurity Manufacturing Innovation Institute (CyManII) is strongly desired.
Optimally, the successful candidates should perform research in cybersecurity manufacturing (Integration of Information/Operational Technologies; Cyber Physical Systems) with a focus on (1) devising novel artificial intelligence, machine learning, and optimization algorithms tailor made for automated processes; and (2) designing integrated supply chain networks to provide a robust methodology for sensor-dense manufacturing environments.
The successful candidates must have demonstrated (1) research competencies and capabilities commensurate with an Assistant Professor appointment level in CEID, (2) potential to lead collaborative teams in federally funded interdisciplinary and/or transdisciplinary efforts, and (3) exemplary dedication to inclusion and diversity in all of its forms. The Assistant Professors will join the Department of Mechanical Engineering and are expected to support the upcoming B.S. program in Industrial and Systems Engineering, as well as the current M.S. program in Advanced Manufacturing and Enterprise Engineering, and the M.S. and Ph.D. programs in Mechanical Engineering. The successful candidates will also need to have the ability to work with and be sensitive to the educational necessities of a diverse urban population, and be committed to advancing the University’s mission as a Hispanic-Serving Institution.
The Department of Mechanical Engineering currently has 21 full-time tenured/tenure-track faculty (5 endowed chairs), 6 full-time non-tenure track faculty, and 1075 undergraduate, 68 M.S., and 48 Ph.D. students, with the doctoral program jointly offered by Southwest Research Institute (SwRI). In addition to the M.S. and Ph.D. degrees in Mechanical Engineering, and a M.S. degree in Advanced Manufacturing and Enterprise Engineering, the B.S. degree in Mechanical Engineering is ABET accredited. UTSA is committed to growth in student opportunities, as indicated by the $95 million Science and Engineering building completed in summer 2020. Additional information about the Department can be found at https://engineering.utsa.edu/mechanical/.
UTSA is one of the 13 University of Texas System’s campuses and is located in the City of San Antonio. The Department of Mechanical Engineering and CEID have experienced sustained
growth in student population, number of faculty, and research awards. The College includes five departments/schools: School of Civil and Environmental Engineering and Construction Management, Department of Mechanical Engineering, Department of Biomedical Engineering and Chemical Engineering, Department of Electrical and Computer Engineering, and School of Architecture and Planning. Several research centers are also hosted within CEID, including the Texas Sustainable Energy Research Institute, Center for Advanced Manufacturing and Lean Systems, Center for Excellence in Engineering Education, Open Cloud Institute, and Institute for Regenerative Medicine. The University enjoys strong ties with other research institutions and companies located in San Antonio. These include SwRI, CPS Energy, Texas Biomedical Research Institute, Joint Base San Antonio, San Antonio Military Medical Center, and UT Health San Antonio.
San Antonio is the seventh largest city in the United States. Located in South Central Texas, San Antonio has mild winters and an affordable cost of living. San Antonio is one of the fastest growing cities in the country and is a hub for engineering, industry, construction, manufacturing, and military activities.
Required Qualifications:
A. Doctoral degree in Manufacturing, Industrial and/or Systems Engineering or closely-related field,
B. Potential to establish extramural funding in Manufacturing, Industrial and/or Systems Engineering,
C. Potential to conduct pedagogical training in Industrial and/or Systems Engineering, D. Potential to teach and mentor students, including first-generation or underrepresented students,
E. Record of publications in high impact journals and/or conferences.
Preferred Qualifications:
A. Record of excellence in university-level teaching or teaching assistantship, and B. Record of excellence in interdisciplinary and/or transdisciplinary research.
Required Application Materials:
A. A cover letter that summarizes the unique qualities of the applicant. B. Curriculum Vitae.
C. Research and Teaching Statements: include specific plans for developing a nationally recognized research program that is supported by extramural and intramural funding, teaching and mentoring philosophies, examples of courses taught as Teaching Assistant or primary instructor, publications in high impact peer-reviewed journals, and future plans to advance diversity and inclusion in an academic environment (4-page limit).
D. Three sample publications: Peer-reviewed papers, chapters, submitted manuscripts, or similar.
E. List of three references: include name, title, email, and telephone contact information.
Given the role of diverse leadership in enabling pathways and serving as a role model for students from historically underrepresented groups, applications, and nominations of diverse candidates from historically underrepresented groups are strongly encouraged. We also encourage
applications from women, ethnic and racial minority groups, veterans, and persons with disabilities. Applicants selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by time of hire. UTSA is an Affirmative Action/Equal Opportunity employer.
Applicants must submit their full application package via UTSA’s Candidate Gateway. To apply, you may access the position posting directly by clicking HERE. The review of application materials will begin on the preferred deadline of November 30, 2021 and continue until the position is filled.
For information, please contact:
Krystel Castillo, Ph.D., Sc.D.
Professor, Mechanical Engineering
Krystel.Castillo@utsa.edu
The Department of Mechanical Engineering in the College of Engineering and Integrated Design at the University of Texas at San Antonio (UTSA) invites applications for a tenure-track position to be filled by August 2022. The Department is looking for outstanding individuals at the Assistant Professor level with demonstrated research expertise who can help the department strengthen its teaching and research programs. Candidates should have a Ph.D. in Aerospace Engineering, Mechanical Engineering, or a closely related field by the time of employment. Applicants are sought in the research area of computational high speed aerodynamics. Subfields of interest include but are not limited to: hypersonic/supersonic aerothermodynamics, compressible flows, transitional and turbulent flows, pressure-gain combustion, chemically-reacting flows, and air-breathing propulsion.
The successful candidates are expected to build successful, externally funded research programs in collaboration with other units in the department, the College of Engineering, the College of Science, the NASA Center for Advanced Measurements in Extreme Environments (CAMEE) and across the University. UTSA has recently completed a Mach 7 wind tunnel facility and a detonation tube and is constructing a high-enthalpy shock tube. In addition, the university will soon open a new School of Data Science. Applicants that can successfully leverage these resources while demonstrating a creative vision for original research are particularly encouraged to apply. The incumbent must be able to:
(1) develop an externally funded and internationally recognized research program;
(2) supervise graduate students;
(3) teach undergraduate and graduate classes in ME;
(4) work with others across disciplinary boundaries;
(5) show a commitment to inclusion and diversity;
(6) serve the department, College of Engineering, and the University.
UTSA is located in San Antonio, Texas, a vibrant city of more than 1.6 million people, with significant economic growth, numerous industrial establishments, and excellent school districts. The city and the University provide excellent cultural and educational opportunities as well as exceptional employment opportunities. The University, classified as a Minority Serving Institution (MSI) and a Hispanic Serving Institution (HSI), has more than 30,000 students and is the third largest component in the University of Texas System. The Mechanical Engineering Department is housed within the College of Engineering and Integrated Design (CEID) and is ABET accredited with programs at the bachelors, masters, and PhD levels. For more information, please visit the Department of Mechanical Engineering website at http://engineering.utsa.edu/mechanical/
Review of applications will begin on November 1, 2021 and will continue until the position is filled. Priority will be given to applications received by October 31, 2021.
Interested candidates must submit an application through the following link: https://jobs.utsa.edu
• Cover letter specifying interest in high-speed aerodynamics,
• List of at least three references with current e-mail address and telephone number, • A research statement (2-page limit), and a teaching philosophy statement (2-page limit) that includes discussion on the role diversity and inclusion play in an academic environment, • Curriculum vitae.
Applicants who are selected for interviews must be able to show proof that they will be eligible and qualified to work in the United States by the time of hire. The University of Texas at San Antonio is an Affirmative Action/Equal Opportunity Employer and it is committed to diversity in its faculty and its educational programs. The College of Engineering and Department of Mechanical Engineering at UTSA value equality, and strongly encourage women, minorities, veterans, and individuals with disabilities to apply.
Categories
Electrical Engineer – L3Harris
Job ID: SAS20200608-48887
Job Title: Electrical Engineer (PhD Grad – Palm Bay, FL)
Job Location: Palm Bay, FL
Job Description:
• Drive solutions to overcome materials related technical barriers
• Selection of materials for tool construction (Structural materials, adhesives, lubricants, coatings) • Selection of materials for wafer level devices including metals, dielectrics, tie layers, diffusion barriers, and superconductors
• Analysis of root causes for materials failure
• Analysis of corrosion mechanisms and design of anticorrosion solutions
• Design and performance analysis of microelectronic devices
• Oversight and analysis of analytical data, including FTIR, DSC, DMA, TGA, SEM/EDS, TOF SIMS
Qualifications:
• Masters or PhD degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Chemical Engineering, Materials Engineering, Materials Science Engineering, Physics or related field
• GPA of 3.0 or greater
Preferred Skills:
• Familiarity with laser processing of materials
• Prior experience or education in low temperature physics and superconductivity • Knowledge of materials synthesis methods and prior experience with optical material characterization methods (e.g., surface measurements, bulk index measurements, nonlinearity measurements, thermal property measurements).
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
Job Description Summary
Would you like to help improve the lives of billions of people? Are you excited about contributing to the Future of Flight, Precision Health and Decarbonization? As a Software Engineer at GE Research, you’ll work on multi-disciplinary teams to deliver software that brings value to the real world. You will help identify customer needs, propose technical differentiators and develop modular, scalable software solutions that bring value to society. Connect your passion to purpose and help move, cure and power the future!
Job Description
This is a hands-on software engineering position. You will work on fast-paced, multi-disciplinary teams to solve technical challenges. You will collaborate with scientists/engineers, GE business units, government agencies and end-customers to devise software that meets program requirements. You will be provided ample opportunity to learn on the job, shape your career and define new research areas.
Essential Responsibilities:
- Problem-solving – be a vital team member on multi-disciplinary programs that take real-world problems and deliver solutions. Program scope can range from quick lab prototypes that validate concepts and reduce risk, all the way up to multi-year programs that deliver robust, efficient and scaled-up software systems directly to customers
- Coding – contribute to technology-differentiated software that may include simulations, scripting, statistics, machine learning, computer vision, text-mining, visualization, web interfaces, search, databases, etc. with platforms spanning embedded, desktop, controllers and cloud
- Quality — optimize quality/time/cost by making smart choices and technology tradeoffs, driven by requirements. Adopt best-practices in code documentation, refactoring, testing, modularity, reusability and scalability, based on program maturity and customer need
Qualifications/Requirements:
- PhD in Computer Science, Computer Engineering or a related discipline OR Master’s Degree in Computer Science, Computer Engineering or a related discipline with a minimum of 2 years of experience in software design and development OR Bachelor’s Degree in Computer Science, Computer Engineering or a related discipline with a minimum of 6 years of experience in software design and development
- Strong problem-solving skills with demonstrated ability to take high-level customer needs, covert to software strategy and requirements, and execute to completion
- Strong knowledge of object-oriented design, software design patterns and principles
- Strong expertise in two or more programming languages e.g. Python, C++/.Net, Bash, R, Perl, Java, C++ , Play, Angular JS, OSGI, HTML5, C, C#
- Strong expertise in Unix/Linux, Git, Javascript and Docker. Windows a plus.
- Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters or Bachelors level for employment visas, now or in the future, for this job opening.
- Because of the specific categories of data handled by GE Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of embargoed countries subject to restriction under the US Export Administration Regulations (EAR), 15 CFR Section 746 et seq. (currently North Korea, Syria, Iran, Cuba, and Sudan). Please note that citizens of embargoed countries who have either U.S. person” status under U.S. export control laws or subsequent citizenship from a non-embargoed country can be considered.
- Must be willing to work out of an office located in Niskayuna, NY
- Must be 18 years or older
- You must submit your application for employment on the careers page at www.gecareers.com to be considered.
Desired Characteristics:
- Domain Expertise – strong grasp of physical systems e.g. Advanced Manufacturing, Robotics, Internet-of-Things, Biomedical Devices, Aerospace, Automated Inspections, etc.
- System-thinking – experience architecting/building software systems with multiple components e.g. UI, algorithms, multi-modal data and visualization. Bonus: edge-devices to controller to cloud
- Resourcefulness – broad range of tools & skills that can be tapped to deliver effective solutions e.g. R, TensorFlow/Keras/PyTorch, NumPy, Matlab, Julia, cloud computing, databases, parallel programming, etc.
- Agile/Lean– experience developing and executing test plans in a CI/CD environment, including source code control, automated unit and regression testing
- Self-starter – passionate about identifying, defining and pursuing new ideas to make an impact
- Team Player — good collaborator and clear communicator. Plays an active role in the continuous improvement of the team through outreach, continuous-learning and peer teaching
- Recognition – widely recognized as an expert in the field e.g. a) contribution to public domain codebases and/or significant github portfolio b) peer-reviewed publications and invited presentations, c) winning and executing on peer-reviewed government contracts
- Leadership Behaviors – Act with Humility, Lead with Transparency, and Deliver with Focus … and always with unyielding integrity
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: Yes
The Portland Technology Development group of Intel Corporation currently has openings for physical science Ph.D.s to support/direct R&D of advanced processing methods. Candidates hired for these positions will be responsible for developing the next generation of Intel’s microprocessors.
Ph.D. candidates in Physics, Chemistry, Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, or related fields are encouraged to apply. Criteria for selection include: a strong academic record, demonstrated experimental and data analysis expertise, superior critical thinking skills, an ability to drive and take responsibility for projects and a solid peer-reviewed publication record. Experience using and maintaining scientific equipment is preferred. Semiconductor processing experience is not mandatory.
Openings are immediately available at Intel’s primary development facility (Ronler Acres) located ~10 miles west of Portland, OR. Please see a more detailed job description included below.
Interested candidates should email resumes to ricardo.nava@intel.com
Ricardo Nava
PTD Intel Corporation
Job Description:
PTD Module Engineers are responsible for leading scientific research enabling manufacture of innovative device architectures coupled with the realization of these architectures. Designing, executing and analyzing experiments necessary to meet engineering specifications for their process. Participate in development of intellectual property. Development of the equipment necessary to exploit the understanding gained in research (in collaboration with equipment suppliers). Work effectively with the equipment supplier to identify shortcomings, propose and evaluate hardware modification to mitigate issues. Operate manufacturing line in order to integrate the many individual steps necessary for the manufacture of complex microprocessors. Insitu ramp to manufacturing volumes to demonstrate the technology meets requirements while simultaneously transferring the technology to counterparts in manufacturing via the Copy Exactly! Methodology. Install and qualify manufacturing capacity at the development site and audit installation/qualification and supervise first full loop at the production site.
This is an entry-level position and compensation will be given accordingly
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.
Minimum Qualifications:
- Candidate must possess a Master’s degree (with a minimum of 2 years of experience) or a PhD degree(with a minimum of 1 year of experience) in Electrical Engineering, Chemical Engineering, Material Science, Physics or Chemistry or a related field with experience in one or more of the following:
- Semiconductor materials and characterization
- Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools
- Analytical Techniques
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Business group:
Intel strives to make every facet of semiconductor manufacturing state-of-the-art — from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.