The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2200 people.

For our research activities on the safety and resilience of nuclear power plants and critical infrastructures, we are looking for a

Scientist

Safety, resilience, and human performance, 80 – 100%

Your tasks

Research on safety and resilience assessment for nuclear power plants, complex systems and critical infrastructures, emphasizing the human factor and probabilistic analysis.

Your profile

• PhD degree in nuclear, mechanical, other engineering discipline or in human factors / ergonomics
• Experience in probabilistic safety/quantitative risk assessment; knowledge of nuclear power plant systems; familiarity with complex system operations would be advantageous
• Enthusiastic and creative scientist interested in interdisciplinary research
• Fluent in English (written and spoken)

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.

This is a fixed-term position. The employment contract will (initially) be limited to 3 years.

For further information, please contact Dr Luca Podofillini (luca.podofillini@psi.ch) or Dr Vinh Dang (vinh.dang@psi.ch).

Please submit your application online by 18 September 2022 (index no. 4503-00).

Job Summary

Environmental and Ecological Engineering (EEE) at Purdue University invites applications for a tenure-track or tenured faculty position at the rank of Assistant or Associate Professor. Purdue University seeks to attract exceptional candidates with interests and expertise in Sustainable Industrial Systems. Specific topics of interest include electrification of processes, decarbonization, recycling/remanufacturing, circular economy, sustainable manufacturing, hydrogen economy, green design, and sustainable materials. Applications from individuals with expertise in solid/hazardous waste, air quality, and water are also welcome if their research focuses on these issues relative to industrial systems. Successful candidates must hold a Ph.D. degree in engineering or a related discipline and demonstrate potential to build an independent research program, as well as potential to educate and mentor students. The successful candidate will conduct original research, advise graduate students, teach undergraduate and graduate level courses, and perform service at the Division, College, and University levels. This will be a joint appointment between EEE and an appropriate Engineering School as tenure home.

School and College

EEE at Purdue University embraces both classic environmental engineering and sustainable industrial processes/systems. EEE students learn systems engineering techniques to proactively avoid environmental problems to ensure that engineering systems are created that can exist in harmony with the natural world and serve society.

EEE is an integral part of Purdue’s College of Engineering. Purdue Engineering is one of the largest and top-ranked engineering colleges in the nation (2nd public college for engineering, 3rd for online graduate engineering programs, 4th for graduate programs, 6th in the world for utility patents, and 10th for undergraduate programs) and renowned for top-notch faculty, students, unique research facilities, and a culture of collegiality and excellence. The College goal of Pinnacle of Excellence at Scale is guiding strategic growth in new directions, by investing in people, exciting initiatives, and facilities.

Application Process

To apply, please submit application to this site including (1) curriculum vitae, (2) teaching plan, (3) research plan, (4) a diversity and inclusion statement indicating past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion, and (5) names and contact information for at least five references. The search committee may contact references to request letters. For information/questions regarding applications contact the Office of Academic Affairs, College of Engineering, at coeacademicaffairs@purdue.edu. Review of applications will begin on October 1, 2022 and will continue until the position is filled.  A background check is required for employment in this position.

Purdue University, the College of Engineering and EEE are committedto free and open inquiry in all matters. Candidates are encouraged to address in their cover letter how they are prepared to contribute to a climate that values free inquiry and academic freedom.

Purdue University, the College of Engineering and EEE is committed to advancing diversity in all areas of faculty effort including discovery, instruction, and engagement. Purdue and the College of Engineering have a Concierge Program that provides dual career assistance and relocation services.

Application Period: Until September 5, 2022
Area of Consideration: United States Citizenship is required. You must be a U.S. Citizen or U.S.
National. Foreign nationals or legal permanent residents are not eligible for consideration.
Position: Operations Research Analyst, DSAS Series: AD-1515
Location(s): Silver Spring, MD
Work Schedule: Full Time
Salary:
$74,950 (Band A)
$89,834 (Band B)
$106,823 (Band C)
Cures Band(s): Band A/B/C Full Performance Band Level: Band C
Travel Requirements: 5% or less
Bargaining Unit: Non-Bargaining Unit
Relocation Expenses Reimbursement: You may qualify for reimbursement of relocation
expenses in accordance with agency policy.

How to Apply
Submit resume or curriculum vitae with cover letter by September 5, 2022, to:
Brad.Goins@fda.hhs.gov. Candidate resumes may be shared with hiring official within CDER
with a similar job vacancy. Candidates can opt out of this process by annotating resume with
“do not share”. Please reference Job Reference ID: T-22-890-A

Assistant Professor of Mechanical Engineering at Santa Clara University 

Assistant Professor in Adaptive and Resilient Infrastructure-Civil and Environmental Engineering at the University of California Berkeley

Lecturer in Electrical and Computer Engineering at Purdue University

Research Associate in Mechanical Engineering at Michigan State University

Postdoctoral Associate in Aerospace Engineering
at University of Maryland

The Bucknell University Department of Mechanical Engineering is conducting a search for TWO faculty colleagues for tenure track positions. While these positions have specified preferred sub-disciplines, ALL highly qualified candidates will be considered. If you are looking for a position or have students who are looking for a position, please apply or have your students apply. From the job ad:

“The department seeks faculty with enthusiasm and promise for excellence in teaching across our curriculum, particularly courses such as computational analysis and numerical methods, and who have the ability and commitment to pursue an independent research program of high quality and importance. For the first position, the department has a strong preference for applicants with research expertise in aerospace engineering. For the second position, the department has a strong preference for applicants with research expertise in i) biomechanics or ii) artificial intelligence in materials and/or manufacturing. Strong applicants with other research expertise that expands the capabilities of the department will also be considered. We welcome candidates who demonstrate excellence in reflective multicultural and inclusive teaching practices and who display a strong commitment to collaboration and interdisciplinarity.”

https://jobs.bucknell.edu/en-us/job/497136/tenuretrack-positions-in-mechanical-engineering

The Department of Aerospace and Mechanical Engineering at the University of Notre Dame has several tenure-track/tenured openings across all our research pillars (bioengineering; computational engineering; fluid mechanics; materials, energy, & manufacturing; and robotics & controls).

https://apply.interfolio.com/112134

Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. To achieve this, we employ some of the best, brightest and most talented people in the world who work together as part of a winning team.

Work in a team of Statistics-Aided Engineering experts within “Center of Excellence for Development Advanced Statistical Tools and Methods for Quality and Reliability Engineering”  to drive the application of advanced and state-of-the-art statistical methods, tools and usages in refining equipment design & development, and accelerating in the resolution of engineering and operations.

Key Responsibilities

• Statistics-Aided Engineering (SAE) expert liaison to engineering function and product development groups to implement complex design of experiments (DOE), statistical modeling, reliability, robust optimization, engineering statistics, and inventive problem-solving.
• Contribute to the development and validation of statistical tools and usages for creating experimental designs, building predictive models, causal inference, and optimization of engineered systems.
• Support execution of Applied Product Characterization methodology and tools in projects in the areas of product and process development, continuous improvement and high-value problems.
• Provide consulting, training, and mentoring of statistical usages and linkages to different levels of roles within Applied Materials.

Qualifications/Requirements

• M.Sc., but preferred PhD Degree in Statistics/Reliability with minor in Engineering/Science or related fields.
• Expertise in creating and analyzing costumed design of experiments (DOEs), building complex predictive models, Bayesian causal inference, simulation techniques, reliability engineering, statistical/stochastic methods, and statistical software (use and scripting) including R, Stats package: BUGS/ JAGS, API development .
• Strong facilitation, presentation, mentorship and training skills and the ability to build positive working relationships with different levels of roles in an organization.
• Having an experience in deep machine learning/learning/neural network, statistical tools and linkages in the engineering and/or product development and/or queries in JMP, Python, or SQL are a plus.

Company Facts:

• Ticker: Nasdaq: AMAT
• Market Cap: $43.5 billion
• Fiscal 2018 Revenue: $17.3 billion
• Fiscal 2018 R&D: $2 billion
• Founded: November 10, 1967
• Headquarters: Santa Clara, California
• Global Presence: 93 locations in 17 countries
• Manufacturing: China, Germany, Israel, Italy, Singapore, Switzerland, Taiwan, United States
• Employees: ~21,000 worldwide
• Patents: >12,500 issued

Education:

Bachelor’s Degree

Skills

Certifications:

Languages:

Years of Experience:

7 – 10 Years

Work Experience:

Additional Information

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

The Smart and Small Thermal Systems group (S2TS) within the Center for Environmental Energy Engineering in the mechanical engineering department, in coordination with its sponsors and collaborators, is looking for qualified senior level or graduate level students (graduate level is preferred) who may be interested in energy analytics/audit, simulation/modeling, as well as hands-on evaluation of commercial buildings energy consumption with the aim of reducing carbon emissions through energy efficiency, renewable energy, and electrification. Competitively paid hourly work or regular graduate student assistantship opportunities are available based on qualifications and matching interest/skills.  Expectations and tasks include the following:  

1. Conduct hands-on and/or computer-driven energy analytics and building energy consumption analysis. Work with other team members in the group and prepare technical energy consumption analysis reports and presentations.
2. Attend weekly meetings and report the progress made.
3. Participate in presentation of the results and progress review meetings to the sponsor.

Qualifications and Compensation:

• Graduate level students, or senior level standing (graduate level preferred).
• Be available for 15 to 20 hrs per week. While semester-long opportunities will be considered, preference will be given to those interested in two semesters or longer work.
• Have strong interest in energy efficiency/sustainable energy and a GPA of 3.25 or higher. Prior course work and/or experience highly desired. Limited training will be provided.  
• Competitive hourly pay, commensurate with the experience and per the allowable university rates.
• We are looking for students who are excited to get involved with this project, demonstrate good performance and enjoy developing competitive skills in this area.

Interested candidates should send a copy of their resume and a brief statement of interest to Drs. Ohadi (ohadi@umd.edu), Shooshtari (amir@umd.edu), and Family (rfamily@umd.edu). Also applicants need to submit their application at: https://forms.gle/TnHvJcroHXwbz8gB7  by no later than September 7th, 2022.  Applications will be reviewed upon receipt. Early applications are highly encouraged.    

Penn State has a rising sophomore in their Mechanical Engineering major at Penn State who is looking for someone with deep knowledge of the Mechanical Engineering curriculum to tutor her in her major courses over the next couple of years. All of the tutoring is conducted online using digital whiteboards.

If interested, please contact:

David Russell
russelld@umd.edu
(240) 997-1091