University of Alaska Anchorage

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Singapore

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society.

The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.

SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its upcoming Punggol campus to support greater experiential learning and strengthen its applied research offerings.?The university’s pool of Engineering experts works with multi-disciplinary teams to drive strategic translational research in key areas such as energy resilience, sustainable infrastructure engineering and maintenance, and maritime engineering.

As a young university, we encourage innovation and seek the right candidates to join us in realising our vision into an increasingly vibrant reality. We offer competitive remuneration, generous employment benefits, access to funding to undertake research of relevance to industry, and opportunities to inspire and nurture the next generation of skilled and work-ready undergraduates.

For this faculty position, we are looking for candidates with an engineering background, who have extensive experience in the area of digital supply chain.

Essential


	Academic and/or industrial experience in design and managing digital supply chain solutioning and supply chain management.
	Having a background and interest in one or more fields of digital supply chain, including but not limited to digital supply chain transformation, digital manufacturing, E-procurement, E-commerce, E-logistics.
	Experience and knowledgeable in one or more areas of supply chain operations management, risk management and operations research, such as demand forecasting, inventory control, procurement, manufacturing, distribution, warehouse and transportation simulation, optimization and management.
	Motivated to develop and to teach curriculum in supply chain sustainability.
	Strong demonstration of interest to develop supply chain security, supply chain digital twin, and artificial intelligence solutions through applied research projects.


Desirable


	Good knowledge in digital supply chain-related technologies such as AI, LLMs, Cyber Security, IoT, 3D printing, automation, supply chain security, digital twins, and block chains.
	Hands on experience in commercial digital supply chain solutioning projects with both hardware and software elements.
	Experience in digital supply chain related projects with strong integration of the three pillars, i.e., Digitalization, Resilience and Agility, and Green Supply Chain.
	Preferred to having a PhD in a related technical area.
	Led or involved in strong industry - academia partnership projects.


Successful candidates will join the?Engineering (ENG) Cluster?(one of five academic clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved in industry transformation through applied research programmes.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via?SIT Career Website.


Singapore Institute of Technology (SIT)

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme).?The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights.

Key Responsibilities


	Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.


Undertake these responsibilities in the project:

1. Computational Fluid Dynamics (CFD) Simulations:


	Develop and implement CFD models to simulate the effects of mangroves, seagrass, and coral on wave attenuation.
	Conduct parametric studies to analyze wave interaction with natural coastal ecosystems under varying conditions.
	Optimize the model to predict shear coefficients, drag forces, and energy dissipation.


2. Experimental Calibration and Validation:


	Collaborate with experimental teams to obtain data from wave flume tests and field studies.
	Calibrate CFD models using experimental data to ensure accurate representation of physical phenomena.
	Validate simulation results to confirm reliability and applicability of the models in real-world scenarios.


3. Analysis and Interpretation:


	Extract and analyze key parameters such as drag forces, flow patterns, and wave energy dissipation.
	Evaluate the influence of structural and biological properties of mangroves, seagrass, and coral on wave attenuation.


4. Research Documentation and Dissemination:


	Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders.
	Contribute to project proposals and progress updates for funding agencies.
	Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.


5. Collaboration and Mentorship:


	Work closely with interdisciplinary teams, including coastal engineers, marine ecologists, and hydrodynamic specialists.
	Mentor junior researchers and students involved in related projects.
	Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project


6. Tool and Methodology Development:


	Innovate and improve methodologies for CFD modeling of complex natural systems.
	Stay updated with advancements in CFD software and techniques to enhance research outcomes.


7. Project Management Support:


	Ensure timely execution of project milestones related to CFD modeling and validation tasks.
	Coordinate with external collaborators and manage data-sharing protocols.
	Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.


Job Requirements


	PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
	Proficiency in CFD modeling software (commercial software and open source)
	Strong analytical and problem-solving skills.
	Research experience in coastal and ocean waves is preferred.
	Excellent communication (verbal and written) and teamwork abilities


Key Competencies


	Able to build and maintain strong working relationships with people within and external to the university.
	Self-directed learner who believes in continuous learning and development
	Proficient in technical writing and presentation
	Possess strong analytical and critical thinking skills
	Show strong initiative and take ownership of work



Morocco

CRSA – Postdoc in Enhanced water balance modeling scheme over Morocco

About UM6P:
Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with international standards, is established to contribute to the development of Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals in order to boost its quality-oriented research environment in the metropolitan area of Marrakech.

About CRSA:
CRSA is a transversal structure across several UM6P Programs. Research within the center is organized around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and humans, with emphasis on sustainable management of natural resources (soil, land, water, agriculture) in the context of Climate Change. One of the center’s goals is to provide a set of services and operational products to users (local, national, and international) that aid in the decision support of water and food systems.

Job Description:
For sustainable management of water resources, it is crucial to be able to accurately quantify the evolution of surface and groundwater storage. For a long time, the main tools for providing such information for planning purposes have been hydrological models. They come in various configurations, from simple, conceptual lumped models to more complex, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute the water budget over broader regions, mainly in ungauged catchments. Being developed for specific contexts, the structure of these models, depending on the dominant regime and its dynamics, put more focus on a specific water balance component than others. This can make the structure inadequate to be directly transferred to other regions with different physiographic contexts and hydroclimatic regimes. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal resolution offer an unprecedented opportunity to address some of these issues, particularly with the extensive emergence of data-driven modeling approaches.

In this perspective, we are looking for a highly motivated postdoctoral researcher to join our Center for Remote Sensing Applications team. The successful candidate will work on implementing a hybrid modeling scheme driven by remote sensing data to enhance the estimation of some of the significant water balance components. The candidate is expected to seek an optimal integration between the physical representations of the various processes and the computing power of the AI algorithms.

Key duties
1.?? ?Develop a robust framework to simulate streamflow decomposed into fast-flow and baseflow at multiple Moroccan watersheds. The candidate would have to test various fast-flow and, more importantly, baseflow simulation methods and outline their adequacy depending on physiography and climate conditions.
2.?? ?Implement an enhanced snow balance modeling scheme employing multisource remote sensing data. The candidate will consider and investigate the existing tools and then suggest an enhanced prediction scheme of the snow dynamics (snow accumulation and snowmelt) over the Atlas Mountain range.
3.?? ?Make use of the developed modeling scheme to outline the drainage area's contribution to the storage changes of surface and underground reservoirs.
4.?? ?Better identify the contribution of rainfall and snowmelt.
5.?? ?Design and conduct fieldwork for in-situ measurements and samplings.
6.?? ?Closely work with researchers and students involved in spatial hydrology.
7.?? ?Publish scientific papers in peer-reviewed journals and deliver presentations and progress reports.
8.?? ?Contribute to the supervision of Masters and Ph.D. students.
Qualifications:
??? ?Ph.D. in Spatial Hydrology, Environmental sciences, Earth sciences, or related fields
??? ?Strong background in hydrology and remote sensing techniques.
??? ?Proficiency in computer programming tools such as Matlab and/or Python.
??? ?Knowledge of statistics and mathematical modeling.
??? ?Experience in large spatial data processing, analysis, and interpretation.
??? ?Experience in running and evaluating environmental models.
??? ?Good publication record.
??? ?Good speaking and writing communication skills.
??? ?Ability to collaborate with other team members and UM6P departments.


Mohammed VI Polytechnic University

Czech Republic, Brno

Department:?Marek Mráz Research Group?–?Central European Institute of Technology
Deadline:?15 Jan 2025
Start date:?early 2025 (to be negotiated)
Job type:?full-time
Job field:?Science and research

Come to CEITEC MU in Brno and join us!

We are passionate molecular biologists at CEITEC looking for??

Postdoctoral Researcher

in Long Non-coding RNAs (lncRNAs) in Microenvironmental Interactions of B Cell Chronic Lymphocytic Leukemia

About this position:?

You?will work in a?team of young investigators that challenge major problems in the field of hematology. We do basic and translational science, but with the objective to help patients in the future (we have access to primary samples with hem. malignancies, and mouse models).

Our research group focuses on non-coding RNAs and microenvironmental interactions of malignant B cells, supported by an ERC Starting grant (2019–2024) and GACR EXPRO (2025-2029). We identified novel regulators, including microRNAs critical for B cell functions, but the role of long non-coding RNAs (lncRNAs) remains unclear. Our goal is to explore lncRNAs in B cell receptor (BCR) signaling and B-T cell interactions, with a?focus on chronic lymphocytic leukemia (CLL), driven by BCR pathway and B-T cell abnormalities. These insights are relevant for other B cell malignancies, autoimmune diseases, and normal B cells.

We identified three candidate lncRNAs involved in CLL microenvironmental interactions. Using biochemical and cellular approaches, CRISPR interference, RNA pulldown, and a?novel lncRNA knockout mouse model, we will study their molecular functions. One knockout mouse model is complete, and its phenotype will be analyzed alongside breeding with Eu-TCL1 CLL models. Primary patient samples will provide complementary data.

Additionally, we developed a?co-culture model enabling robust CLL cell proliferation (~50%) in vitro, allowing the first CRISPR screening of lncRNAs regulating CLL cell growth. This groundbreaking approach will improve understanding of CLL biology and identify potential therapeutic targets.

The candidate profile:?


	Motivated smart person with "drive" to work independently, but also willing to learn from other people in the lab and collaborate
	Having degree in Molecular biology, Biochemistry, or similar field and have deep interest in molecular biology and cancer cell biology


What you will learn and do:


	Think and work independently as a?scientist, design experiments and formulate hypothesis
	Write of abstracts and papers (and course in grant writing and presentation of data)
	Attend conferences to present your research
	Spend 1-2 months visit(s) in collaborating labs in Europe or US
	Collaborate with experts in wet lab research and bioinformatics
	Critically analyze scientific data (regular journal clubs)
	Classical and novel methods of molecular biology (e.g. RNAseq, Crispr, Cut&Tag, mouse mdoels, immunoblotting, flow cytometry, qRT-PCR, cell cultures, cloning), and you will use our in vitro models for microenvironmental interactions, and artificial activation/inhibition signalling pathways to decipher the gene regulatory loops
	Supervise students, if interested


?What we provide to you:


	Open access to CEITEC MU core facilities with state-of-the-art equipment and experienced staff
	Full contract for Post-Docs with competitive salary (funded by ERC grant)
	Flexible working hours
	Support for further education and professional development
	Benefits package: 6 weeks of paid holiday, medical insurance, financial contribution to meal and kindergarten/pension scheme, Multisport card, mental health care, sports at the campus
	Kindergarten Elánek in Campus
	Support in these areas:
	
		Welcome Office service?before and after arrival
		Grant Office?support?
		Postdoc Peer Committee
		CEITEC events?–?workshops, conferences, lectures, training, family gathering?etc.?
		More at?Why work at CEITEC MU?
	
	


How to apply?

Application deadline:?15.1.2025

Start date: early 2025?(to be negotiated)

Contact the PI and submit a?CV by email to:?marek.mraz2@email.cz


Masaryk University

Hong Kong

Ref.:?530759
Work type:?Full-time
Department:?School of Nursing (20800)
Categories:?Teaching Staff

Assistant Lecturer (several posts) in the School of Nursing?(Ref.: 530759) (to commence as soon as possible, on a two- to three-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Master’s degree in Nursing or a healthcare-related discipline, and be a holder of the Certificate of Registration (Part I) and valid Practising Certificate issued by the Nursing Council of Hong Kong, with a minimum of 3 years’ post-registration local clinical experience. ?Preference will be given to those with higher academic qualifications and clinical teaching experience. ?They should have strong communication, organizational and problem-solving skills; the ability to work independently and as a team; and the capacity to work under pressure and multitask. ?Those who are qualified as Advanced Practice Nurse (APN) will be offered the title of Advanced Practice Nurse.

The appointees will report to the Chairman of the Teaching and Learning Committee. ?They will be responsible for teaching, conducting tutorials, and providing practical and clinical supervision in Nursing. They may be required to perform duties outside normal office hours. Shortlisted candidates will be invited to an interview.

Those who have responded to the previous advertisement (Ref.: 530070) need not re-apply.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

The University only accepts online application for the above posts. ?Applicants should apply online and upload an up-to-date C.V. and at least 2 reference letters with specific comments on their competence.? Review of applications will start on January 2, 2025 and continue until?February 27, 2025, or until the posts are filled, whichever is earlier.


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University of Alaska Anchorage