Jobs/Internships

Energy Consultant Position
Location: Washington, DC

Job Code: 1264
https://phg.tbe.taleo.net/phg02/ats/careers/requisition.jsp?org=KEYLOGIC&cws=1&rid=1264

DescriptionKeyLogic has an immediate need for an Energy Consultant to support our newly-acquired company, OnLocation. OnLocation is recognized as a leading energy consulting firm providing objective quantitative analysis to a diverse set of stakeholders in establishing energy, environmental, and climate change policies for the U.S. since 1984. Our mission is to use quantitative analytical methods to objectively inform strategic players in energy and related industries to improve the outcome of business and policy decisions as the USA strives for a balanced and sustainable energy future. To help our clients understand the implications of the challenges facing our energy system, we develop, modify and apply a variety of computer models and data analysis tools to examine energy trends, impacts of proposed government policies, and the associated financial and economic impacts of energy investment decisions.

 Position Requirements:

• Bachelor’s Degree in Economics, Engineering, Finance, Mathematics, Statistics, or Energy Policy; advanced degree is a plus
• 0-5 years of relevant energy-related experience in industry, consulting, government, or non-governmental organization
• Excellent technical, analytical, and quantitative skills
• Strong Microsoft Excel, Word, and PowerPoint skills
• Strong experience with R/Python or other tools is a plus
• Creative problem-solving abilities
• Interest in and knowledge of energy issues and policy analysis
• Excellent verbal and written communication skills
• Ability to work in a team setting as well as independently

Additional Desired Qualifications:

• Ability to communicate complex ideas and summarize large data sets through effective tables, charts, and summary discussions
• Good organizational skills, including documentation of assumptions and processes
• Good attention to detail and QA/QC habits
• Hands-on energy modeling experience and/or data analytics
• Knowledge of operations research and/or other programming skills

Position Responsibilities:

• Assist in designing and implementing quantitative research and consulting studies using various energy models
• Assist in developing and improving analytical tools and techniques to address client needs
• Work with large data sets, including historical market information, detailed forecasting model results, and modeling inputs
• Create written reports and PowerPoint presentations for clients
• Develop industry expertise with the goal of becoming an industry expert in one or more areas
• Participate in conference calls and meetings with clients

Any questions should be directed to the contact below: 
Jeannine Ogden | Talent Acquisition Specialist443.539.9047 (direct) | 304.296.9100 (main) | 304.296.9300 (fax) |www.keylogic.com

INSTRUCTOR, MECHANICAL ENGINEERING

The Mechanical Engineering Department at Seattle University invites applications for a full-time, renewable, multi-year, non-tenure-track Instructor position to begin September 2021.  Candidates with expertise in fluid mechanics, heat transfer, building energy systems, or related fields are strongly encouraged to apply. 

Candidates should provide evidence of commitment to effective teaching and mentoring and will demonstrate a genuine commitment to the mission of Seattle University. Responsibilities will include teaching undergraduate and graduate courses, mentoring capstone design teams, and departmental service.  

The Mechanical Engineering Department offers two degrees: Bachelor of Science and Master of Science in Mechanical Engineering. The department has strong relationships with many local companies, including the leading companies headquartered nearby.  For more information visit: https://www.seattleu.edu/scieng/mechanical/

Minimum Qualifications: An M.S. in mechanical engineering or a related field.

Preferred Qualifications: Ph.D. in mechanical engineering or closely related discipline, teaching experience with evidence of teaching effectiveness, capability to teach both undergraduate and graduate courses, and experience in teaching in a variety of modalities.

Founded in 1891, Seattle University is a Jesuit Catholic university located on a beautiful campus of more than 50 acres in the dynamic heart of Seattle. Our diverse and driven population is made up of more than 7,200 students enrolled in undergraduate and graduate programs within eight schools and colleges. Seattle University is an equal opportunity employer.

In support of its pursuit of academic and scholarly excellence, Seattle University is committed to creating a diverse community of students, faculty and staff that is dedicated to the fundamental principles of equal opportunity and treatment in education and employment regardless of age, color, disability, gender identity, national origin, political ideology, race, religion, sex, sexual orientation, or veteran status. The university encourages applications from, and nominations of, individuals who will further enrich the diversity of our educational community.

Submit applications through https://www.seattleu.edu/careers including a cover letter summarizing qualifications and potential contributions to Seattle University; curriculum vitae, statement of teaching philosophy, and name and contact information for three references. Application review will begin July 12, 2021 with the search remaining open until the position is filled. Inquiries may be directed to Prof. Teodora Shuman, teodora@seattleu.edu. 

Dr. Teodora Rutar Shuman | Professor and Chair
MECHANICAL ENGINEERING DEPARTMENT | SEATTLE UNIVERSITY
901 12th Avenue, Seattle, WA 98122-1090
Office: (206) 296-5535

Mechanical Engineering Internship Position 

NextStep Robotics Inc. (NSR), a Baltimore-based rehabilitation robotics startup is looking for a paid intern with a mechanical engineering background. NextStep Robotics has created a cutting-edge solution by  developing a portable ankle robot (AMBLE) to alleviate and in some cases, treat foot drop, which is an  inability to raise the foot during activities of daily life such as walking. Foot drop commonly affects older  adults with stroke and other neurologic injuries. See www.nextsteprobo.com for further details on AMBLE. 

Qualifications: 

• Master’s or a bachelor’s degree in Mechanical Engineering earned or in-progress.

• Minimum cumulative GPA of 3.0 for each degree earned or in-progress. 

• Strong mechanical and analytical abilities. 

• Computer proficiency in SolidWorks modeling CAD software, Google Docs, Sheets, and Slides.

• Daily means of transportation to the office located on UMB campus. 

• Must have the ability to lift 20 pounds. 

Desired Qualifications: 

• Prior hands-on experience in design, prototyping, assembly & testing of robotic devices is a plus.

• Previous assembly technician experience/manufacturing engineering experience. 

Nature of Work: The internship will take place at NextStep Robotics located at 800 W Baltimore St,  Baltimore, MD 21201. Your duty hours will be flexible on a per week basis capped at 40 hrs./week. This  position is hands-on and in-person. As an engineering Intern at NSR, your responsibilities will include  working with all personnel on duties assigned including but not limited to: 

● Verification 

o Design and build test rig for go-to market verification of AMBLE devices. 

o Conducting reverse engineering, where needed. 

o Development of procedures (SOPs) for unit and integrated testing. 

● Assembly 

o Refinement of assembly/inventory SOPs. 

o Assist in establishment of a robust, reliable inventory/manufacturing system with good  workflow for assembly technicians. 

o Assist with assembly of AMBLE units & peripherals. 

o Assist with part inspections. 

● Researching products and equipment of competitors. 

● Participation in planning and development of current and future projects/products.

●Other tasks as assigned that have relevance to company function and performance. Contact: Interested and eligible candidates should contact Nick Rabuck, mechanical engineer lead at  nicholasr@nextsteprobo.com with a copy of their resume, earliest start & end dates, and meeting  availability for interview two weeks out.

Location: West Lafayette, IN  
Posting Date: 06/10/2021  
Application Deadline: Open Until Filled  
Start Date: Immediately  
Salary Range: 55-85K 

Job Description 

The CYbersecurity & data aNalytics for Industrial Control Systems (CYNICS) group in the School of  Nuclear Engineering at Purdue University has open postdoctoral positions. Our mission is to develop  novel solutions to engineering problems using data-driven, physics-based, and hybrid methodologies.  

Successful candidates will be engaged in a number of projects focused on advancing the role of data  science for a wide range of nuclear engineering applications, e.g., modeling-based engineering, safety,  cybersecurity, and performance optimization. Some of the CYNICS ongoing projects include  development of cybersecurity and software security solutions for critical systems, development of  condition monitoring algorithms for anomaly detection, optimization of hybrid nuclear energy systems,  optimization of additive manufacturing processes, model-validation for first-of-a-kind reactor systems,  uncertainty quantification and reduced order modeling for multi-physics systems.  

Postdoctoral Position Qualifications  

A prospective candidate is expected to have a PhD degree in a discipline with a strong background in  mathematical physics, applied mathematics, statistics, or engineering. Preference will be given to  candidates with qualifications in data science and artificial intelligence. Other considerations include:  a) general understanding of the principles of mathematical modeling in engineering applications, e.g.,  materials modeling, thermal-hydraulics modeling, transport modeling, etc.; b) experience in the  development of physics-based or data-driven models, strong familiarity with principles of Bayesian  statistics, semi-empirical fitting, mathematical inference, uncertainty quantification; c) proficiency in  the implementation of standard machine-learning techniques, e.g. decision trees, ensembles, Bayesian  networks etc., and deep learning, e.g. Tensorflow, Keras, Pytorch etc.; d) experience in working with  and developing large computer codes; e) experience in programming with high level languages, e.g.,  Python, C++, Java, etc.; f) written communication skills as demonstrated by peer-reviewed  publications.  

Application Requirements  

To respond to this ad, qualified candidates should submit the following documents: a) cover letter, b)  detailed resume listing all publications, positions held, synergistic activities, awards, etc., c) research  statement (2 pages max) outlining the candidate’s research interests and vision, d) two key peer reviewed publications that highlight the candidate’s past research accomplishments. Please indicate on  your resume if you are a US Citizen or US Permanent Resident as some of the projects have export control restrictions. Please combine the documents in the noted order into a single PDF file, not to  exceed 20 MB, and named PostDocPurdueAppl_Lastname_Firstname.PDF, and email to: Prof. Abdel Khalik, abdelkhalik@purdue.edu with the subject line, RE: Post Doc Position Application.  

For more information, please visit https://engineering.purdue.edu/CYNICS

Job Description: Assembly and Test Technology Development (ATTD) Experimental Mechanics Lab deals with thermo-mechanical challenges in the development of advanced packaging technologies. The personnel in this R&D lab use a variety of tools to study the behavior of electronic packages and their material constituents under different mechanical and/or thermal loading conditions: like dynamic warpage of packages using optics-based tools; interfacial adhesion strength using Double Cantilever Beam test; fracture toughness of bulk materials using three-point bend test; material CTE using Digital Image Correlation method; and defect (or crack) detection & classification using optical (or acoustic emission) sensors and AI/ML codes. Employees also develop new metrologies and software capabilities for use with next-gen packaging technologies.

An ideal candidate is one with a strong background in Experimental Mechanics, along with problem solving and programming skills.

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.
• Relevant experience can be obtained through school work, classes and project work, internships, military training, and/or work experience.

Minimum Qualifications:

• Possess a master’s degree and 6+ months of experience or PhD degree and 1+ years of experience in one of the following majors: Mechanical Engineering, Aerospace Engineering, Materials Science and Engineering, or related field.
• Must have the required degree or expect the required degree by December 2021.

Preferred Qualifications:

6+ months of experience (master’s degree) or 1+ years of experience (PhD degree) with one or more of the following:

• Material characterization, load frames, DAQs, PID controllers, basic optics, 3D CAD, silicon photonics, Cu-Cu hybrid bonding, and/or structural health monitoring.
• LabView, Matlab, and/or Python programming.

Interested candidates should email their resume to Dr. Pramod Malatkar (pramod.malatkar@intel.com).

Austria PREMIUM  Professor in Geoenergy Production Engineering Montanuniversität Leoben – Leoben PREMIUM  Full Professor in Electrochemical Energy Conversion Montanuniversität Leoben – Leoben BelgiumInstructor position Photo-electrochemical catalysis & sensing University of Antwerp – Antwerpen Postdoctoral researcher ‘In vivo Cellular and Molecular imaging’ KU Leuven – Brussels Tenure Track Lecturer Mathematics/Continuous techniques in Data Science Vrije Universiteit Brussel – Ixelles PhD Researcher in Linguistics and Artificial Intelligence KU Leuven – Leuven Postdoc Position in Applied Artificial Intelligence and Software Engineering KU Leuven – Leuven Post-doctoral assistant (18256) – Civil engineering Ghent University – Gent Assistant – Department of Information Technology Ghent University – Gent Assistant – Department of Electronics and Information Systems Foscari University of Venice – Gent Canada PREMIUM  Assistant Professor of Teaching (introduction to the Mineral Resource Industry, Surface and Underground Mine Design, and a Senior Design (Capstone) Course) The University of British Columbia – Vancouver – Point Grey Campus Assistant Professor – Cybersecurity Curtin University – Vaughan  AI Research Chair in Artificial Intelligence and Logistics Dalhousie University – Halifax Assistant Professor of Computer Science  Dalhousie University – Halifax Assistant Professor, Distributed Systems University of Calgary – Calgary Tenured and Tenure-Track Faculty – Assistant Professor – Software Engineering Ontario Tech University – Oshawa Assistant Professor – Applied Mathematics University of Toronto – Toronto  Assistant Professor, Teaching Stream – Electrical And Computer Engineering University of Toronto – Toronto  Assistant Professor, Teaching Stream – Molecular Engineering University of Toronto – Toronto  China PREMIUM  Faculty Positions in Electronic and Computer Engineering The Hong Kong University of Science and Technology – Hong Kong Lecturer in Software Engineering Manchester Metropolitan University – Wuhan Assistant/Associate Professor in Computer Sciences, Electrical/Electronic Nanchang University – Nanchang  Computer Science Assistant/Associate Professor Positions Wenzhou-Kean University – Wenzhou Full/Associate/Assistant Professor in Mechanical and Energy Engineering University of Electronic Science and Technology of China (UESTC) – Sichuan Faculty positions in Electronic and Computer Engineering Curtin University – Kowloon Head of Department of Electrical Engineering The Hong Kong Polytechnic University (PolyU) – Hung Hom Lecturer / Associate Professor Positions in Mathematics German University of Technology – Wenzhou High Research Achieving Computer Science Associate/Professor Position Wenzhou-Kean University – Wenzhou Denmark Assistant professor / Associate professor in Experimental Quantum Photonics University of Copenhagen – Copenhagen Associate Professor in Thermochemical Biofuel Technology Aarhus University – Aalborg Associate Professors in Mathematical Statistics at the Department of Mathematical Sciences Aalborg University – Aalborg Assistant professor with expertise in bioinspired robotics, biorobotics and / or neuromorphic computing University of Southern Denmark – Odense Assistant/associate professorships in computer science and software engineering University of Copenhagen – Copenhagen Professor in Machine Learning and Computational Intelligence Aarhus University – Aarhus Postdoc Positions on Digital Building Twins and Tracking of Construction Resources Aarhus University – Aarhus PhD positions in Electrical Engineering University of Southern Denmark – Sonderborg Finland Doctoral For Machine Vision And Signal Analysis University of Oulu – Oulu Postdoctoral Researcher For Machine Vision And Signal Analysis University of Oulu – Oulu Doctoral Researchers In Mathematics Or Statistics University of Jyvaskyla – Jyvaskyla Associate Professors In Materials Science And Engineering University of Turku – Turku Postdoctoral Researcher In Integrated Circuit Design Aalto University School – Espoo Postdoc Positions In Robotic Instruments Group Aalto University School – Espoo University Teacher In Computer Networks And Programming Aalto University School – Espoo Researcher, Superconducting Electronics VTT – Espoo France PhD position – Beyond Shannon with Semantic Communications for 6G Networks and Services Aalborg University – Grenoble PhD position – novel integrated circuit topologies using innovative capacitive components on silicon CEA TECH – Grenoble Post Doc – Tools and methods for Industry 4.0 complex systems engineering CEA TECH – Grenoble Associate Professor (F/H) in Computer Science IMT Atlantique – Nantes Associate Professor (F/H) in Artificial Intelligence for Industrial Engineering IMT Atlantique – Nantes PhD position in Plasma Instability Identification through Machine Learning Aix-Marseille University – Marseille Postdoc in Machine Learning for Structure-based Virtual Screening Aix-Marseille University –  Professor in Security of Systems and Software Telecom Paris – Palaiseau Germany Research Associate – Efficient machine learning for speech and audio signal processing Fraunhofer-Institute – Stuttgart Professorship (W3) for Microsystems in Bioprocess Engineering Karlsruhe Institute of Technology (KIT) – Karlsruhe Full Professorship (W3) of Systems Engineering for Electrical Energy Storage University of Bayreuth – Bayreuth Full Professorship (W3) of Electronics of Electrical Energy Storage University of Bayreuth – Bayreuth Rudolf Mobbauer Tenure Track Assistant Professorships Technical University of Munich –  Rudolf Mobbauer Tenure Track Assistant Professorships Technical University of Munich – Munich Research Associate in the Robot and Assistive Systems Department Bauhaus University Weimar – Stuttgart Assistant Professorship in Machine Learning in Smart Markets University of Cologne – Cologne ItalyPhD in Communication Engineering Polytechnic of Turin – Torino Assistant Professor in the area of Informatics Foscari University of Venice – Venezia Teacher of Science and Mathematics Rome International School – Rome Norway Associate Professor in Materials Science and Engineering Ferro/Piezoelectric Materials Norwegian University of Science & Technology – Trondheim Professor/Associate Professor, Department of Mechanical and Industrial Engineering Norwegian University of Science & Technology – Trondheim PhD Candidate in Modeling, Simulation and Control of Offshore Systems and Mobile Robots Norwegian University of Science & Technology – Trondheim PhD Position in Designing Artificial Intelligence Systems Umea University – Umea Associate Professor In Marine Robotics Clarkson University – Oslo Postdoctoral Fellowship On Artificial Intelligence  Oslo Metropolitan University – Oslo PhD Research Fellow In Collaborative Robots University of Agder – Kristiansand Post-Doctoral Research Fellow In ICT – Internet Of Things (IOT) And Machine Learning University of Agder – Kristiansand Poland PREMIUM  Lecturer in Cyber Security Coventry University – Wroclaw PREMIUM  Lecturer in IT & Digital Technology Solutions Coventry University – Wroclaw RussiaFaculty Position in Center for Computational and Data Intensive Science and Engineering Skolkovo Institute of Science and Technology – Oblast Assistant, Institute of Biochemical Technology and Nanotechnology RUDN UNIVERSITY – Moscow Professor, Department of Applied Informatics and Probability Theory RUDN UNIVERSITY – Moscow Embedded Systems in Information Technolog Peter The Great St.Petersburg Polytechnic University – St Petersburg Computer Science Faculty of Computer Science HSE University – Moscow SpainPostdoc Researcher – Explainable artificial intelligence in robotic systems Research institute in Barcelona – Barcelona Associate/ Full Professor Of Railway Engineering Innovatio Barcelona School of Civil Engineering – Barcelona Postdoctoral Position in Machine Learning at the 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Engineering Clarkson University – Potsdam Assistant Professor Tenure Track Mechanical Engineering University of Louisville – Louisville Assistant Professor Tenure Track Electrical and Computer Engineering University of Louisville – Louisville Assistant Professor, Computer Science The University Of Chicago – Illinois Associate Professor, Data Science The University Of Chicago – Illinois Postdoctoral Associate, Chemical Engineering Mit Massachusetts Institute Of Technology – Massachusetts Instructor – Electrical & Computer Engineering University of Detroit Mercy – Detroit    To learn more about these and other positions, we invite you to visit our website at www.akatech.tech.

Graduate student projects are available in the NASA/Goddard Space Flight Center (GSFC)  Astrophysics Science and Solar System Exploration Division through the Center for Research  and Exploration in Space Science and Technology II (CRESST II) (https://cresst2.umd.edu/). Three NASA sponsors are looking for six graduate students in the fields of astronomy,  astrophysics, physics, and engineering to work on research projects at NASA/GSFC. Interested  graduate students should review the available projects below and follow the instructions to apply. 

​​Project #1: Gravity Science from Spacecraft Orbit Determination 

The goal of this project is to advance our understanding of the methodology and applications of  the analysis of spacecraft tracking data through orbit determination. Existing tools and radio  tracking measurements acquired by NASA planetary missions will be analyzed to derive  geophysical parameters important to our understanding of planets, moons, and small bodies.  New or improved force and measurement models will be developed to test hypotheses from  recent publications in the literature. Simulation studies will also be performed to assess possible future instrument and mission concepts. The students will be introduced to recent studies at  GSFC, will take charge of a project with guidance, and will grow skills in state-of-the-art  analysis and estimation methods applied to planetary science. Successful candidates should have  some background and/or skills in physics, linear algebra, and programming languages (Python  and/or FORTRAN). 

​The candidates will work with Dr. Erwan Mazarico in the Planetary Geology, Geophysics, and  Geochemistry Laboratory at NASA/GSFC. Funding is available for two students to start work as  soon as May 1, 2021 and will last for a period of 1-2 years, dependent on future funding.  ​

Project #2: X-ray Studies of Normal Galaxies 

Projects are open for the use of Chandra, NuSTAR, XMM and/or other X-ray missions. The  project would involve doing X-ray data analysis to study point source populations (neutron stars  and black holes) as well as the hot interstellar medium in both nearby and distant galaxies. The  student would use both standard tools for X-ray data analysis as well as write code in e.g.,  Python and would be expected to write papers and make presentations on their work. The lab has a group of approximately six Ph.D. scientists working on a range of topics concerning X-ray  emission from normal galaxies. Successful candidates should be proficient with UNIX/LINUX,  computer coding (Python or other languages), writing in Latex, and a willingness to work in a  team.

​The candidate will work with Dr. Ann Hornschemeier in the X-ray Astrophysics Laboratory at  NASA/GSFC. The project is open to one student and the project start date, duration, and possible  funding will all be individually discussed between the candidate and Dr. Hornschemeier. ​

​Project #3: Cosmology and Submillimeter Astrophysics 

Students with physics, astronomy, engineering, or computer science backgrounds can play a  major role for flight projects to develop instrumentation and analyze data from balloon-borne  measurements of the cosmic microwave background and the diffuse interstellar medium. Current 

and planned projects include the PIPER measurements of the cosmic microwave background,  AMEX measurements of anomalous microwave emission, Dust Buster measurements of  interstellar dust, and BOBCAT technology development for a future balloon-borne “Great  Observatory”. Successful candidates will have useful skills in some subset of instrumentation,  data analysis, cryogenics, and mechanical engineering, plus a strong desire for hands-on development of flight hardware. Previous students have had backgrounds in physics, astronomy,  or engineering. 

The candidates will work with Dr. Alan Kogut in the Observational Cosmology Laboratory at  NASA/GSFC. The project is open to three students and the project start date, duration, and  possible funding will all be individually discussed between the candidate and Dr. Kogut. 

​Instructions to Apply 

Applications will be reviewed, and positions will be filled on a rolling basis. Submitting your  application promptly will ensure your application is reviewed while the position is still open. Restrictions associated with the COVID-19 pandemic may require that the successful candidate  work remotely, at least initially. To apply, submit the following materials via email to the  CRESST II Program Associate, Katherine McKee (katherine.s.mckee@nasa.gov): 

• Curriculum Vitae 
• 1–2-page Statement of Research Interests 

For additional information about CRESST II and the graduate student opportunities, contact Katherine McKee.​

It gives me great pleasure to present you the next issue of our academic newsletter which includes open faculty and research positions in engineering and technology, ranging from senior executive roles through to academic posts and research related positions, from polytechnic universities worldwide. You can view the full listings on PolytechnicPositions.com

Associate/Assistant Professor of Cyber Security/Electronic and Computer Engineering

The Open University of Hong Kong

Hong Kong

Postdoctoral Scholar in Hydrodynamic Modelling and Wave Energy Technology

Oregon State University

United States

Lecturer/Assistant Lecturer in Environmental Science

The Open University of Hong Kong

Hong Kong

Researcher in Artificial Intelligence and Machine Learning in Soft Condensed Matter and Polymer Physics

Leibniz-Institut für Polymerforschung Dresden e.V.

Germany

Assistant Professor of Chemical Engineering

McMaster University

Canada

Professor in Analytical Chemistry

Ramon Llull University IQS School of Engineering

Spain

Assistant/Associate/Full Professor (Tenure Track) in Industrial Informatics for Energy System Disruption

LUT University

Finland

Professor in Environmental and Chemical Engineering

Ramon Llull University IQS School of Engineering

Spain

Professor in Mathematics

Ramon Llull University IQS School of Engineering

Spain

Professor in Materials Science and Engineering

Ramon Llull University IQS School of Engineering

Spain