Elmergib University

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United Arab Emirates, Abu Dhabi

Description

The S.M.A.R.T. Construction Research Group in the Division of Engineering at New York University Abu Dhabi (NYUAD) seeks to recruit a post-doctoral associate to work on automation and information technologies applied to construction and civil infrastructure. The successful applicant will lead fascinating projects focusing on the development of innovative ways to automate (including the use of robotic systems) the building, operation, inspection, retrofit, and repair of construction projects, coupled with the application of artificial intelligence and new technologies. The objectives include increasing quality and safety and reducing construction time and costs (i.e., increasing productivity). Automation is mostly intended to be done onsite using autonomous and mobile robotic systems with applicable sensors, controls, and algorithms. The post-doctoral associate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. The selected post-doctoral associate is expected to continuously document research progress in the form of scientific publications to be submitted to top journals in our field.

About the S.M.A.R.T. Construction Research Group

The S.M.A.R.T. Construction Research Group is a dynamic and interdisciplinary research group led by Prof. Borja García de Soto. The core topics of the S.M.A.R.T. Construction Research Group are Sustainable and resilient construction, Modularization and lean construction, Artificial intelligence, Robotic systems and automation, Technology integration and information modeling.

Qualifications

Applicants must have received a Ph.D. in civil engineering, mechanical engineering, computer engineering, computer science, or a related field, and should have research experience in the areas of construction automation, building information modeling, automation/robotics, and computational design methods. Candidates are expected to have extensive and strong knowledge of Robot Operating System (ROS) and programming ability and experience in robotic applications in real and simulated (e.g., Gazebo) environments. Experience in the application of robotics to construction, as well as building information modeling (BIM), will be an advantage. Candidates with excellent interpersonal and communications skills in English, problem-solving, the ability to work in multi-disciplinary teams, scientific creativity, and decision-making abilities are preferred.

Application Instructions

Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, and at least three reference letters. If you have any questions, please email garcia.de.soto@nyu.edu

About NYUAD

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

United Kingdom, Southampton

Research Fellow: Machine Learning for Early Diagnosis of Dementia

Opening exists for a post-doctoral researcher position on a UKRI funded project, Holistic Optical Biomarkers For Early Differential Dementia Diagnosis (HOpE). You will join an inter-disciplinary team of computational scientists, clinical experts and molecular biologists in developing novel computational algorithms for pattern recognition with Raman spectroscopy data. Techniques to be explored include classic statistical methods including low-rank matrix and tensor factorization and more modern deep learning-based methods with quantifying uncertainty in predictions as a primary goal. The post will be based within the Vision, Learning and Control (VLC) research group in the School of Electronics and Computer Science (ECS), working with the investigator, Professor Mahesan Niranjan.

The University of Southampton has a high profile for research and research-led education. For an early career researcher, we offer an environment with a dynamic research culture, an opportunity to interact with a community of researchers working on advanced topics and excellent high performance computing facilities. There is much activity in the pursuit of difficult inter-disciplinary problems, particularly at the computing-health and computing-biology interfaces, of which this project is an example. The rich environment of research in this area is largely facilitated by the Institute for Life Sciences.

The VLC group in which this project is based consists of 20 academic staff and over 30 post-graduate researchers working on various algorithmic and applied topics in Machine Learning, Computer Vision and Control Systems. We maintain a vibrant research environment via a regular seminar series, weekly journal club and occasional informal discussions, and the group works more as a community of scholars than a collection of researchers. Staff in the group teach courses spanning a range of topics in modern Machine Learning: architectures, algorithms and a range of applications, and the appointee will be able to take advantage of these both by attending specific topics and by helping with teaching.

Other benefits of the position include a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidized health and fitness facilities on-site; cycle to work scheme; and a range of discounts.

For an informal discussion on any specific questions about the position, applicants may contact Professor Mahesan Niranjan mn@ecs.soton.ac.uk.

*Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.


University of Southampton

Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Process Systems Engineering research group in the Department of Chemical and Metallurgical Engineering  is now looking for a motivated

Doctoral researcher in Process electricification 

Do you enjoy mathematics and want to use your knowledge on chemical processes to create decision-making tools for the future industry? If you are a creative and analytical person and like programming this might be something for you!

We are looking for a doctoral researcher (“PhD student”) to work on the interesting field of energy transition. In particular, we would like to understand how the plans for process electrification could be realized such that the transition of production processes and its environment is both feasible, economic and sustainable. In this work the concepts of chemical engineering, operations research and computer science will meet as you may also need to deploy machine learning to support data analytics and complex decision making processes.

Your role and goals

You will be responsible for conducting research in the area of process electrification, with a specific focus on developing collaborative models on how to link production into energy systems on the planning level. You need to work in the following topics:


	Create models that can embed the dynamics and flexibility of both processes and energy systems (e.g. power grids)
	Implement your models using state-of-the-art optimization solutions
	Analyze the relevance of energy storage options and other energy carriers (e.g. hydrogen)
	Look into the sustainability of various alternatives and embed these into decision making
	Collaborate with experts across school borders to support the topical development


For this specific position, the doctoral candidate will be expected to perform independent research, to collaborate with different groups, to present at scientific conferences, to publish in academic journals, to apply for research funding, to participate in the activities of the research group, and to assist in teaching activities (max 5% of working hours).

Your network and team

This position will be based in the Process Systems Engineering group led by Prof. Iiro Harjunkoski, which focuses on finding solutions on how to design and operate future production systems and supply chains using collaborative models and modern optimization tools, also supported by machine learning. Here, energy and sustainability play a very important role. We also collaborate with other groups to learn more about and support topics such as circularity, hydrogen economy, etc.

The unique competitive edge of the Department of Chemical and Metallurgical Engineering  in the School of Chemical Engineering is based on sustainable utilization of raw materials, designing more efficient processes and developing new materials and products. Our department’s areas of expertise enable sustainable future with high performance products and processes in circular economy and bioeconomy. The department is in a key position in research of chemical engineering, materials technology, metals processing, efficient energy technologies and digitalization of these. Our core competences include unit operations and processes in chemical engineering, hydro- and pyro-metallurgy, catalyst and polymeric materials, novel catalytic process, process control and process systems engineering.

Your experience and ambitions

We are looking for highly motivated candidates with previous experience in:


	Computer-aided decision making
	Mathematical modeling and optimization
	Experience or interest in artificial intelligence / machine learning
	Good programming skills, e.g. Python or equivalent
	Supply chain planning of chemical processes, energy systems or in another relevant area


The experience should be demonstrated by evidence of success in related studies, and ideally also by some publication record. Other merits demonstrating suitability for a doctoral researcher position can also be considered.

Experience in writing research proposals for funding acquisition is an asset. Candidates should have an initiative-taking approach, should pay attention to details and have high aptitude in continuous learning, and experience or ambition to co-operate with industry. Candidates should hold or shortly receive a master’s degree with good grades in a relevant field (Chemical engineering, Process Systems Engineering, Energy or Electrical engineering, Industrial engineering).

What we offer 

Aalto University offers an excellent environment for driving and realizing your own research ideas, contribute to a sustainable future, stay at the forefront of research and networking by interacting with companies and other schools.

The starting date is 1.2.2025 or as mutually agreed. The first employment contract is made for one year, during which you will apply for the study right in doctoral studies at Aalto University School of Chemical Engineering. Please check the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-chemical-engineering. Please pay attention to the mandatory skill level in English. Doctoral studies at Aalto University take approximately four years.

The starting salary for a doctoral researcher is 3000 EUR/month, and will increase over time according to the salary system of Aalto University.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line.

Join us!

If you want to join our community, please submit your application no later than 24.11.2024, in English through our online recruitment system by using the link ("Apply Now") on Aalto University's web page.  Please note that we only accept applications via Workday.

Please including the following attachments mentioned below, in English:


	Motivation letter with a short description of your research interest. Please include the applicant’s contact information and an indication of the preferred starting date (max. 1 page)
	CV including details of all academic merits (including publications, if applicable), and contact information of two persons who may be contacted to provide a character reference (max. 3 pages)
	Summary of the applicant’s master’s thesis (max. 1 page)
	Copy of the applicant’s master’s degree certificate and a transcript of studies (with a clear explanation of the grading scale)


Please note that the position will be filled as soon as a suitable candidate is identified.

For additional information, kindly contact Prof. Iiro Harjunkoski, iiro.harjunkoski@aalto.fi.

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto

Check out our new virtual campus experience: https://virtualtour.aalto.fi/

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions).

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

Hong Kong, Tuen Mun

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University aspires to become a comprehensive university in arts and sciences in the digital era, with impactful research and innovations.

Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/.

Applications are now invited for the following posts:

Assistant Professor of Teaching
Department of Accountancy
(Post Ref.: 24/380)

The Department has vacancies for the posts of Assistant Professor of Teaching. The appointees are expected to contribute to high quality teaching.

General Requirements

Applicants should have a PhD degree in Accountancy or a related discipline and must demonstrate excellent teaching record. The appointees are expected to teach a variety of subjects including law in business and other accounting functional courses, such as managerial and financial accounting. The successful candidates should maintain the Association to Advance Collegiate Schools of Business (AACSB) qualification through producing peer reviewed journal publications or other intellectual contributions, engaging in professional development activities, responsible for curriculum development, and student advising and mentoring. The appointees are also expected to help the Department to maintain good relationship with professional bodies and business, reach out business by knowledge transfer, as well as to liaison with professional bodies to obtain (re)accreditation status of our accounting program(s).

Appointment

The conditions of appointments will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years.

Application Procedure (online application only)

Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only.

We are an equal opportunities employer. Review of applications will continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration.

The University reserves the right not to make an appointment for the posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.


Lingnan University

Australia, Melbourne


	Full-time, Fixed Term position for 3 years 
	Academic Level B1 + 17% Superannuation
	Based at the Melbourne CBD campus.


About the role

As Research Fellow, you will work as a member of a team undertaking research in the RF & Antennas Research Group. The work will involve research in the development and application of the metamaterials and metasurfaces as defined by the research contract with the AFOSR/AOARD. The research is focused on investigating a possible solution for the reconfigurable and tunable metasurfaces.

You may be required to supervise undergraduate, postgraduate and research students on projects being conducted within this project.

To be successful in this position, you will have as a minimum:


	Demonstrated excellent research track record in the field of electromagnetics, and microwave circuit & systems.
	Demonstrated ability to experimentally realise and characterise microwave devices and systems.
	Proven ability to undertake scientific research and development in research programs.
	Demonstrated ability to clearly communicate research results, concepts and knowledge.
	Demonstrated initiative in research and problem solving.
	Demonstrated ability to work effectively both as a member of a research team and independently when required, to meet project outcomes and milestones.
	Ability to co-supervise postgraduate by research students.
	Ability to contribute to the teaching and learning program in a relevant field.


Qualifications

Mandatory: PhD in Electrical Engineering, Communication Engineering, Applied Physics, or related science discipline. Also, candidates who are in the process of obtaining their Ph.D. may be considered for the position.

Please Note: Appointment to this position is subject to passing a Working with Children Check and National Police Check.

About the College

The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before.

STEM College is a community of exceptional STEM researchers, teachers, inventors, designers and game- changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, and ensure our students experience an education that is work- aligned and life-changing.

The College is renowned for its exemplary research in many STEM areas including advanced manufacturing and design; computing technologies; health innovation and translational medicine; nano materials and devices; and sustainable systems. Our brilliant researchers attract funding from government and industry sources.

Industry is at the heart of what we do. It ensures our research has real world impact, and our students are truly work-ready. Under the leadership of DVC STEM College & Vice President, Digital Innovation, we have established new hubs of industry-connected digital innovation and endeavour and are engaging with global STEM organisations at scale.

STEM College employs 1,000 staff who deliver onshore and offshore programs to approximately 20,000 students.

We are here to positively impact the world and create the next generation of STEM leaders.

https://www.rmit.edu.au/about/schools-colleges/stem-college

To Apply

Please submit your CV and covering letter addressing  the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Professor Kamran Ghorbani via email kamran.ghorbani@rmit.edu.au.

Position Description - Research Fellow - Metasurfaces

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements.

Applications close on Tuesday 17 December 2024 at 11:59 pm. 

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


Elmergib University

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