Total 349 Engineering job vacancies in Education / Training category in The United States of America

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Associate. The candidate will conduct both experimental and numerical research to develop two-phase cold plate with enhanced thermal performances at lower pressure drop.

Key Responsibilities:

• Development of theoretical and numerical model to predict flow boiling in flow channels in different orientations,
• Development of new channel designs to overcome the adverse effect of gravitational direction,
• Conduct flow boiling experiments to validate predictive models and characterize thermal-hydraulic performance of new designs,
• Development of generative design (GD) strategy for two-phase cold plate with enhance heat transfer and reduced pressure drop,
• Design and fabrication of new cold plate developed by GD,
• Perform experimental characterization of GD cold plate,
• Assisting the preparation of the necessary research reports and technical papers, and
• Work closely with researchers, graduate and undergraduate students performing research such as URECA or final year projects.
• Liaise with industrial collaborators, building owners, relevant authorities, vendors, contractors, etc on works related to the project
• Assist the Principal Investigator (PI) and his co-investigators in the supervision of graduate and undergraduate students in the research team, and perform all related assignments and studies as directed by the PI from time to time.

Job Requirements:

• Possess a recognized Master’s degree in Mechanical Engineering, Material Science And Engineering, or related field with experience and expertise in boiling and condensation heat and mass transfer analysis.
• Expertise in analytical modeling, numerical simulation, development of numerical coding related to phase change processes.
• Experience in two-phase flow and phase-change heat and mass transfer modeling and experiments.
• Experience in design and development of two-phase thermal management devices and thermohydraulic characterization,
• Relevant knowledge in experimental and numerical investigation in boiling and condensation,
• Expertise in numerical simulation and analytical formulations of phase change heat and mass transfer,
• Proficiency in written and spoken English.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. The School of Civil and Environmental Engineering (CEE) aims at exploring and utilizing the underground space in a sustainable manner.

CEE is seeking to hire a high-calibre Research Fellow to provide leadership and support for energy transformation of geotechnical industry. The position will be involved in a research project related to geotechnical engineering, and geoenvironmental engineering.

Key Responsibilities:

• Develop constitutive models to simulate thermo-hydro-mechanical behaviors of fine-grained soils.
• Apply developed numerical tools to investigate thermomechanical behaviors of geostructures.

Job Requirements:

• Ph.D. degree in Civil/Geotechnical Engineering, Computer Science, or a related field.
• Excellent programming skills, such as Python, MATLAB, or other competent languages.
• One or two-year research experience in geotechnical engineering, constitutive modelling, and/or numerical modelling.
• A good record of publications in reputable peer-reviewed journals or conferences
• Proficiency in written and spoken English.
• Previous experience in proposal writing is preferred

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Support the team lead and other research staff to implement a research project in the coastal environment.
• Responsible for project administrative tasks, including procurement and maintenance, permit applications, and scheduling of activities.
• Coordinate site clearance activities and assist key pilot on equipment setup to ensure safe and efficient UAV operations in the coastal environment.
• Develop and implement UAV operation frameworks tailored to the unique challenges of coastal areas to acquire highly-quality remote sensing data.
• Collaborate with interdisciplinary teams to integrate data into numerical modelling for coastal environments.
• Monitor project timelines and key performance indicators to ensure that project deliverables are accomplished on time and are of high quality.
• Prepare presentation slides and meeting minutes for all progress update meetings.
• Manage project budgets and prepare audit documents if required.
• Contribute to the production of high-quality research reports and publications.

Job Requirements

• Possess a Master’s degree in Civil and Environmental Engineering or related discipline
• Preferably a few years of research experience in numerical modelling, and remote sensing in the coastal engineering domain.
• At least two years of experience in performing imagery data acquisition and field measurement related works with unmanned aerial vehicles (UAV).
• At least two years experience in project management, including overseeing project timelines, deliverables and budgets.
• Proficiency in UAV operation frameworks, particularly in the coastal environment.
• Familiar with relevant regulations and safety protocols for UAV operations, including UAV permits application processing for operations in Singapore.
• Basic proficiency in image processing and geographical software (e.g, DJI Terra, ArcGIS).
• Open to fixed-term contract.

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Engineer I.

Key Responsibilities:

• Devise automation solution for microfluidic device to target research and clinical use.
• Convert customers’ requirement into product design and prepare technical drawings and bill of materials (BOM).
• Plan and conduct product evaluation, functional test, failure analysis (FA) and create test report.
• Conduct product testing at customers’ site and collect feedback for continuous improvement.
• Coordinate with vendors and team members on tooling, manufacturing, and costing.
• Provide weekly progression report on product design, manufacturing status and costing.

Job Requirements:

• Minimum Bachelor’s degree in Mechanical Engineering, Robotics, Or Electrical Engineering.
• Proficient in computer-aided design (CAD) software such as Solidworks, Creo, NX, Inventor, etc.
• Proven tracked record in automation solution or machine development.
• Preferred prior experience in CNC, rapid prototyping, injection molding and microfluidics
• Sound knowledge on electrical circuit and microcontroller like Arduino, Raspberry Pi, STM32.
• Able to work independently and detailed oriented.
• Good written and verbal communication in English.
• Good communication skill in explaining technical knowledge in a comprehensive manner.
• Preferred prior experience on medical regulatory compliance (ISO 13485, FDA, MDR, IVDR).

We regret that only shortlisted candidates will be notified

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Access to data is crucial for AI-empowered businesses. However, in an age of heightened user privacy awareness, access to data is not easy. The TrustFUL research program aims to bridge this gap by developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection.

Key Responsibilities:

• Conduct research and development work on federated learning, especially focusing on the aspect of quantum federated learning, under the project TrustFUL – Trustworthy Federated Ubiquitous Learning.
• Conduct independent research in the field of federated learning, focusing on quantum federated learning.
• Help supervise students.
• Help with federated learning technical platform design and development.
• Help with collaboration with existing industry partners.

Job Requirements:

• Master’s degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university.
• Good publication track record is a must.
• Previous research experience in quantum computing preferred.
• Previous research experience in the field of federated learning will be advantageous.

We regret that only shortlisted candidates will be notified.

Job Title: Engineering and Design Technology Teacher (Part-time, 0.8 FTE)

Location: Preston

Start Date: September 2024

Pay Rate: Main Pay Scale (MPS) / Upper Pay Scale (UPS) in accordance with experience and qualifications.

Position Overview:

We are excited to present this opportunity for an enthusiastic Engineering and Design Technology Teacher. In this role, you will play a key part in delivering engaging lessons and fostering a supportive learning environment for students. You will lead the development of the Engineering qualification at KS4 and inspire students through Design Technology at KS3.

Key Responsibilities:

• Deliver captivating lessons that ignite students' passion for Engineering and Design Technology.
• Lead the development of the Engineering qualification at KS4.
• Inspire and motivate students through Design Technology at KS3.
• Utilise assessment data effectively to inform planning and teaching.
• Contribute to intervention strategies within the subject area.
• Collaborate with colleagues to develop syllabuses, resources, and teaching strategies.
• Provide enrichment opportunities for students.
• Demonstrate a commitment to the growth and development of all students.

Qualifications and Experience:

• Qualified teacher status (QTS) or equivalent.
• Strong background in Engineering and Design Technology.
• Experience teaching GCSE standards.
• Proven track record of achieving excellent progress with students.

Benefits:

• Professional development opportunities.
• Supportive and collaborative work environment.
• Opportunity to contribute to the ongoing success of [Omitted].

How to Apply:

If you are a dedicated classroom practitioner passionate about teaching and learning, we invite you to join us in making a difference in the lives of our students. Please submit your CV to lj@spencerclarkegroup.co.uk or call Liam Jones on 01772 954200.

Join Spencer Clarke Group and embark on an exciting journey towards educational excellence!

APPLICATION REQUIREMENTS FOR SPENCER CLARKE GROUP

All applications are subject to an Enhanced DBS Disclosure, professional reference checks, Overseas Police Clearances (if applicable) in line with our stringent safeguarding policy

• Your CV must cover the last 10 years of employment history where possible and all employment breaks must be explained
• You must have legal right to work in the UK
• You must be willing to attend a registration interview

All pay rates quoted will be inclusive of 14.3% statutory holiday pay. This advert is for a temporary position. In some cases, the option to make this role permanent may become available at a later date.

Spencer Clarke Group work with a variety of schools covering a wide geographical area. We deal with teaching placements at Primary, Secondary, Special Education needs and college level as well as support staff positions also within these.

We offer a market leading referral scheme of up to £250 so if you know of someone who may also be looking for an exciting career opportunity, ask them to email their CV to Liam Jones on refer@spencerclarkegroup.co.uk remembering to include your details.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Research Engineer will work closely with the Principal Investigator (PI) to design and build desirable microstructure to enhance mechanical properties of steels by additive manufacturing.

The job scope of this position is:

• Conducting literature reviews and understanding state of the art
• Planning and implementing experiments
• Developing simulation models to guide microstructural engineering
• Analysing the experimental and simulation data
• Writing progress reports and research papers

Qualifications

• Bachelors in Materials Science or Mechanical Engineering
• Knowledge of metallurgy and microstructural engineering is highly required
• Expertise in microstructural characterisation techniques (e.g. TEM, EBSD and FIB) and mechanical testing
• Expertise in numerical simulations (e.g. phase field, FEM)
• Experience with metal additive manufacturing (e.g. powder bed fusion, directed energy deposition) will be advantageous
• Good publication record will be advantageous
• Self-motivated, good team player

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

The Research Assistant will be conducting development in the area of AI and particularly machine learning models for recommendation and decision making.

Key Responsibilities:

• Conducting literature review on AI and machine learning for decision making and recommendation
• Designing a new AI solution
• Evaluating and compare with existing models
• Writing research papers to report the results

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Job Requirements:

• ​Bachelor degree in Computer Science or a related discipline
• Sufficient experience and background in AI and machine learning;
• Excellent programming skills, and good knowledge and experience on Software Engineering are an asset;
• Excellent English writing and speaking skills

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Fellow.

Key Responsibilities:

• Responsible for performing intelligent scent and multimedia processing
• Submission of a comprehensive reports/IDs/Demos/papers summarizing/justifying the pioneer and innovative research
• To perform the pioneer research in scent digitalization and computation.
• To further develop machine learning tasks for scent signal classification/fusion.
• Set up and analyze experiments under different conditions.
• To propose a methodology/framework in a software prototype to be developed in the project.
• To report research findings in a form of a report and present in international peer-reviewed conferences and journals.
• To be involved in the mentoring of PhD/Masters/FYP students.

Job Requirements:

• PhD degree in Computer Science (And Engineering), Electronic Engineering, Applied Mathematics, Perception Sciences, etc.
• Have good technical reading, writing and programming skills.
• Have good track record for related R&D.
• High desire for technological exploration and achievement.
• Background knowledge in signal representation/processing, esp for scent signals.
• Prior research experience and track record in signal detection, machine learning and deep learning.
• Prior programming experience in state-of-the-art AI techniques.
• Mastering of a programming language would be valued (e.g. Python, Matlab…)
• Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research.

We regret that only shortlisted candidates will be notified.

The S-Lab for Advanced Intelligence is seeking a Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to "Towards Robust and Efficient Temporal Sentence Grounding in Videos."

Key Responsibilities:

• To independently undertake research in computer vision, NLP, and machine learning
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD in Computer Science/Engineering, AI or related areas.
• Strong background in machine learning and computer vision.
• Prior experience in multi-modality learning, multimedia retrieval is preferable.
• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, CVPR, ICCV, ECCV, NeurIPS, ICML, ACL, and ICLR.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal deep learning systems for NLP.
• Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system.
• The research should lead to publications in top-tier international conferences and journals

Job Requirements:

• Master degree in Computer Science, Electrical Engineering or related disciplines
• Prior experience in NLP, and state-of-the-art ML techniques would be a plus;
• Good interpersonal communication and oral presentation skills in English;
• Experienced in working in a team, with people of diverse skillsets and cultural background

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is available immediately in Prof. Leo Hwa Liang’s laboratory for a research study in collaboration with NUHS and National Cancer Centre.

We are looking for highly-motivated individuals with experience and good knowledge in nanomaterials, cell and animal studies, for example, nanomaterial synthesis, drug delivery and cancer therapy. The candidate will design and conduct the material synthesis and cell/animal experiments, collect and analyze research data, and prepare reports and research papers for publication.

Qualifications

• Applicants should have a PhD degree in bioengineering, chemical engineering, biology, medicine, or equivalent from a well-recognized university.
• Prior experience in nanomaterials or cell/animal studies.
• Good publication records in peer-reviewed journals.
• Good interpersonal, analytical and writing skills
• Able to perform research independently with strong technical and problem solving skills.
• Open to fixed-term contract

The School of Computer Science and Engineering (SCSE) is seeking a dedicated Research Associate in Computer Science and Engineering with a focus on advancing the fields of diffusion models and machine generalization.

This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in computer science and engineering.

Key Responsibilities:

• Collaborate closely with the Principal Investigator (PI) to design, implement, and analyze novel research projects.
• Conduct high-quality research, developing new algorithms and models, and publishing findings in top-tier conferences.
• Formulate the machine generalization problem in light of recent advancements in foundation models.
• Design algorithms that improve diffusion model generalizations.
• Collect or consolidate data to validate the designed algorithm.
• Communicate research outcomes through papers or presentations.

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Job Requirements:

• Master's degree in computer science/engineering
• Experienced in PyTorch or Tensorflow
• Relevant publication regarding machine generalization or diffusion model is preferred.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Demonstrated publication record in top-tier conferences such as NeurIPS, ICML, CVPR, or similar.
• Proven experience in designing, implementing, and evaluating algorithms and models, particularly in diffusion models and machine generalization.
• Strong analytical and problem-solving skills, with a solid foundation in mathematics and statistics.
• Ability to work independently and collaboratively in a research environment, with excellent communication skills for presenting research findings.
• Strong background in machine learning, deep learning, or a related field, and exhibit a proven track record of research excellence and publication in reputable venues

We regret that only shortlisted candidates will be notified.

The Energy Research Institute @ NTU (ERI@N) invites applications for the position of Research Associate.

Key Responsibilities:

• Specific precipitation
• Liquid-liquid or Liquid/solid extraction
• Simulation of scaled up process.
• Design of continuous process based on the most interesting systems for the selective recovery of the metal ions of interest
• Implementation of the process at pilot scale (~10 L/h or larger) to demonstrate its feasibility and to give first hints for cost analysis from the perspective of development at industrial size

Job Requirements:

• PhD in Chemical Engineering / Chemistry
• Candidate with strong background on chemical separation processes, especially hydrometallurgy ones.
• Good record of publications and IPs
• Experience with lab set up or prototype development
• Familiar with chemical elements characterization techniques (Spectrophotometry, ICP, FX…)
• Familiar with Labview, python or process simulation software
• Excellent command of oral and written English.

We regret that only shortlisted candidates will be notified.

Established in 1981, the School of Electrical and Electronic Engineering (EEE) is one of the three founding Schools of the Nanyang Technological University, Singapore. Built on a culture of excellence, the School is renowned for its high academic standards and extensive research activities. To support advanced research, the School hosts 13 research centres which are well-equipped with sophisticated and state-of-the-art equipment. Besides the 13 centres, there are more than 60 laboratories, supporting both the teaching and research activities in the School.

NTU EEE is now one of the top-ranked schools in the world, ranked 2nd globally by subject in the U.S. News and World Report Best Global Universities Rankings 2022 and 4th worldwide in the QS University Rankings by Subject 2022 (Electrical and Electronic Engineering).

Join the School of Electrical and Electronic Engineering, College of Engineering, Nanyang Technological University, Singapore as a faculty member and embark on a challenging and exciting career in teaching and research excellence, so as to prepare engineering leaders of the future.

The School invites applications for two non-tenure-track Senior Lecturer/Lecturer positions in Information Engineering and Computational Intelligence.

Position Description

Applicants should have at least Master’s degree in electrical and Electronic Engineering, or Computer Science/Engineering, or a closely related discipline. Candidates who have a Bachelor’s degree and extensive industry or vocational experience may also be considered. A strong background and teaching experience

in one or more of the following areas: Software Engineering, Computing and Programming (python, C, object-oriented programming, and assembly), Microprocessor, Computer Architecture, Internet and Mobile Services and Applications, Database Systems, Web Applications, Wireless Communications, Embedded System Design, Cyber-Physical Systems, Cyber Security, Internet of Things, Machine learning, Pattern Recognition, Data Mining/Analytics, Natural Language Processing, and Speech Analysis would be an added advantage.

Fresh PhD graduates would be considered but preferences are given to candidates with relevant working/teaching experience in universities.

Responsibilities

The successful candidates are expected to teach courses in the fields of Information Engineering and Computational Intelligence at the undergraduate and postgraduate levels, and supervise undergraduate and postgraduate students.

Application

Applicants are invited to submit their applications (cover letter, CV, research and teaching statements, and citation report, where applicable) through the NTU career portal.

Review of applications and shortlisting of applicants will be carried out on an on-going basis until the positions are filled. Only shortlisted candidates will be notified.