Indiana Wesleyan University-Marion

Times 中国A片

Overview

For Students

For Professionals

Basic information and contact details for Indiana Wesleyan University-Marion

About Indiana Wesleyan University-Marion

Contact Indiana Wesleyan University-Marion

Build your profile to connect with students and professionals around the world

Do you work for this institution?

Select the type of ranking below to see stats

Impact Rankings

About

Rankings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

Singapore

FACULTY OPENING FOR NURSING 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 clinical practice education and academic endeavour, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with clinical impact is aimed at helping the healthcare and social services sector innovate and grow.

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.

As a young university, we encourage innovation and seek the right candidates?to join?us in realising?our vision. 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 graduates.?We currently have positions available at all levels, from Lecturer to Full Professor, for the discipline-?Nursing?in the Health and Social Sciences Cluster.

Applicants should possess:


	an earned PhD in Nursing from a reputable university,
	a nursing practitioner license,
	extensive experience in:
	
		teaching nursing courses to students or professionals
		research work in the field of healthcare, particularly in nursing
		publication in nursing services and/or clinical research.?
	
	


The appointee will be expected to undertake funded clinical-relevant research and teach courses in healthcare and nursing.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. Please contact the HSS Cluster Director, Associate Professor Tan Bhing Leet via HR_Faculty@singaporetech.edu.sg if you have any enquiries relating to these opportunities.?


Singapore Institute of Technology (SIT)

Finland

Samuel Kaski’s research group Probabilistic Machine Learning is searching for postdocs to work on AI fundamentals in exciting projects. The work includes collaboration with the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the Alan Turing Institute, ELLIS and the new ELLIS Institute Finland, and researchers from other fields.

Prof Kaski is Professor of Computer Science in Aalto University and Professor of AI in the University of Manchester. He is Director of Finnish Center for Artificial Intelligence and ELLIS Unit Helsinki. His research group develops machine learning principles and methods focusing on a few key topics (see “Machine learning foundations” below), often working with researchers of other fields in new exciting applications (see the other topics below).

Topics

Machine learning foundations

Keywords: probabilistic modelling, Bayesian inference, simulation-based / likelihood-free inference, multi-agent RL and collaborative AI, sequential decision making and experimental design, privacy-preserving learning, Bayesian deep learning, generative models

We are looking for a new postdoc in the team which develops probabilistic modelling and Bayesian inference methods. The team has several exciting new machine learning formulations we work on, and opportunities for applying the methods with top-notch collaborators. The core is always development of new methods, and with this call we are looking for talented researchers with background in machine learning, stats or CS (or other directly relevant topics) who are keen on developing the new methods. In the cover letter, let us know what you are interested in - if we are already working on it, all the better, but we are willing to listen to new ideas too.

Machine learning for synthetic biology and biodesign

Keywords: AI-based design, human-in-the-loop machine learning, collaborative AI, molecular modeling, graph neural networks, deep learning algorithms, generative models

We are searching for early career scientists to join our research team working towards next-generation machine learning methods for synthetic biology. The positions are available in two large multi-year projects (BIODESIGN and BIOFOUNDRY) focused on establishing virtual laboratories for protein engineering and biomanufacturing, implemented in collaboration between FCAI and VTT Technical Research Centre of Finland, and NSF Global Center on biofoundries. The aim of the projects is to design novel AI-based tools for bioengineering. These tools will combine cutting edge machine learning techniques, such as graph neural networks, deep generative models, Bayesian optimization, and human-in-the-loop learning with the synthetic biology expertise of VTT. The virtual laboratories are envisioned to have a wide range of applications in industry (e.g., new biochemicals, biomaterials and drugs), and to help the transition to a carbon-neutral society.

Applicants should have a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: AI-based design, Deep learning algorithms, Generative models, Human-in-the-loop machine learning, Collaborative AI, Molecular modeling, Reinforcement learning, Structured prediction.

The successful applicants will join a world-class research team with top AI researchers from FCAI and synthetic biology experts from VTT.

Real-time AI-assistance with computationally rational user models

Keywords: collaborative AI, human-in-the-loop ML/RL, reinforcement learning, user modelling

Despite recent advances in AI and machine learning, there are few AI solutions that can be applied when we cannot precisely specify the objective or do not have suitable data to learn from. This is particularly salient and challenging in ad hoc assistance for human users in complex tasks such as scientific discovery.?

This project aims to address this issue by learning these objectives, and to assist, directly from interaction with the users. To do so, we develop reinforcement learning techniques for AI-assistants and computationally rational user models that take into account factors such as cognitive biases to reason about human decision-making. We push state-of-the-art in AI that, through inference over - and planning with - such user models, is able to tackle problems that are otherwise out of reach of mainstream AI solutions.?

Supported by a High-performance computing grant from the Research Council of Finland, we are looking to strengthen this team with postdocs with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the fields listed under this topic is beneficial.

Team: this project will be carried out with a top expert on computational rationality, Prof. Andrew Howes of University of Exeter,? and experts in application domains.

Next generation distribution shifts

Keywords: distribution shift, out-of-distribution generalization, robust deployment, deep learning, experimental design

Robust algorithms for machine learning models are vital as the deployed scenario can differ from the training scenario in unexpected ways. Placing assumptions on the kind of distribution shift we expect, such as covariate or label shift, and accounting for it during training is common practice. However, these assumptions are often too restrictive for real-world settings, as the shifts encountered are typically more complex. Moreover, it is difficult to know a priori which shifts we need to account for. This project focuses on developing novel machine learning methods? that demonstrate robust performance by adapting to unforeseen shifts and diverse datasets during deployment.

We are looking for applicants with a strong academic record in computer science, mathematics, or statistics. Solid research experience in one or more of the following fields is beneficial: distribution shift, out-of-distribution generalization, out-of-domain generalization, sequential experimental design.

Your experience and ambitions

We expect the candidates to hold or be close to getting a relevant doctoral degree and have a solid background in the mathematics/statistics/computer science needed in machine learning.

Previous experience in the application fields is an advantage. Capability of both independent work and teamwork, and excellent written and spoken English are necessary.

What we offer

We provide

RESEARCH ENVIRONMENT

You will work in Professor Samuel Kaski’s research group (Probabilistic Machine Learning Group). We design collaborations as we go, according to what the research needs. Collaborators include but are not restricted to the other groups in the Finnish Center for Artificial Intelligence (FCAI), other sites of the European Laboratory for Learning and Intelligent Systems (ELLIS) and our new ELLIS Institute Finland, Centre for AI Fundamentals of the University of Manchester, the Turing Institute, and a number of excellent researchers in other fields in our applications.?

JOB DETAILS

Postdoc positions are typically made for up to three years. Starting dates are flexible. All positions are negotiated on an individual basis. We are strongly committed to offering everyone an inclusive and non-discriminating working environment. We warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field.

All our positions are fully funded and the salary is based on the Finnish universities’ pay scale. The starting salary depends on the level of the position and the previous experience and is typically increased as the experience grows. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

Ready to apply?

Submit your application through our recruitment system Workday by the link below. The deadline for applications is? February 2 2025 at 23:59 Finnish time, 2024.

Required attachments


	Cover letter (1–2 pages).?
	CV
	List of publications (please do not attach full copies of publications)
	A transcript of doctoral study
	The degree certificate of your latest degree. If you don’t yet have a PhD degree, a plan of completion must be submitted.
	Contact details of two senior academics who can provide references. We will contact your referees if we need recommendation letters.


All materials should be submitted in English in a PDF format. Note: You can upload max. five files to the recruitment system, each max. 5MB.

Please note: Aalto University’s employees should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Contacts: Coordinator Fang Wang (fang.wang@aalto.fi)

More Information

We are part of Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki. More information on their pages, and the frequently asked questions on this page. ?

Aalto University (53rd in the Times 中国A片 THE ranking list of most international universities in the world) is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 12 000 students and a staff of more than 4000, of which 400 are professors. Our main campus is located in Espoo, 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 Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the largest computer science unit in Finland. Computer science research at Aalto University ranks high in several prominent surveys (47th worldwide and 9th in Europe in Shanghai subject ranking 2019; and 56th worldwide in Times 中国A片 subject ranking 2020).

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/services/about-finland

More info:

twitter.com/fcai_fi
linkedin.com/company/fcai
youtube.com/channel/UC7nUhposDgxzDOKns_H5J0w
Newsletter: http://eepurl.com/gVPBpf

Aalto.fi?

twitter.com/aaltouniversity?
facebook.com/aaltouniversity
instagram.com/aaltouniversity

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

United Kingdom, Southampton

We are delighted to welcome applications for the position of Research Fellow within the Integrating Citizen Deliberation for Impact (i4i) project, an international collaboration to examine the variety of ways that national and subnational European climate assemblies have been differently connected to their respective political-administrative systems and how this shapes their polity, policy and political impacts (see:?https://i4i-project.com/).

The post holder will develop the cross-cutting conceptual schemes and empirical analyses that unite the different work packages of the project. This will primarily include carrying out a comparative analysis of the integration and impacts of European climate assemblies and writing academic outputs that conceptualise integration and impacts of public participation, as well as presenting the findings of the empirical analysis of the relationship between the two. This work will be carried out under the supervision of Rikki Dean (principal investigator of the project).

This research position will be based in the Department of Politics and International Relations within the Faculty of Social Sciences, at the University of Southampton where Dr Dean is based. You will join a team of researchers based across the UK, Belgium, Germany and Poland, as well as a supportive Department that contains the largest concentration of democratic innovations scholars in Europe.

To be successful in either role you will have completed your PhD in a relevant discipline before April 2025 (or equivalent professional qualifications). You will have facility with building theoretical frameworks, as well as an interest in mixed-methods research; have the ability to plan and organise work independently and as part of a team; and have the ability to write research presentations and papers for peer review publication. Knowledge and experience of the subfield of democratic innovations and with using Qualitative Comparative Analysis (QCA) is desirable.

The Research Fellow post is full-time for a fixed term until 30/04/2027 with a negotiable start date, but with an early start date being preferred.

The University of Southampton holds an Athena SWAN Silver Award demonstrating commitment to equal opportunities in the workplace.

Applications for Research Fellow positions 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 successful completion of the PhD. Prior to the qualification being awarded the title of?Senior Research Assistant?will be given.

Informal enquiries may be addressed to Rikki Dean, email:?r.j.dean@soton.ac.uk.


University of Southampton

Australia, Melbourne


	Full-time, 3-year Fixed Term position
	Salary Academic Level A ($77,649 - $105,323) or Level B ($110,868 - $131,659 ) depending on the qualifications and experience + 17% Superannuation 
	Based at the Melbourne CBD campus, but may be required to work and/or be based at other campuses of the University


About the Role

This position will be employed as part of the newly awarded ARC Linkage grant, titled "Secure Management of Internet of Things Data for Critical Surveillance," with RMR Process Pty Ltd as the industry partner. This position will primarily be responsible for designing, implementing, and testing sensing, monitoring, and information systems for industry applications. While a PhD degree is not required, this position should have industry experience in integrating sensing, secure networking, data management, and data visualisation systems and a good understanding of industry needs. Extensive publications are not necessary, but a few in reputable venues (e.g., A* conferences/journals) are desirable.

About You

Essential criteria


	Industry Experience: Demonstrated industry experience in managing, building, and testing large-scale distributed computing systems (e.g. Edge, IoT, I4.0), evidenced by involvement in several industry projects.
	Technical Experience:  exposure to Python, JavaScript, Node-Red, Ladder Logic, Structured Text, or equivalent, knowledge of AWS and other cloud technologies, knowledge of PostgreSQL, Grafana, and other database and dashboard systems, knowledge of MQTT, OPC UA and other industrial communication protocols, basic electronics and sensor integration.
	Work Ethic: A strong work ethic with the ability to work independently and as part of a broader team, including collaboration with industrial partners.
	Interpersonal and Communication Skills: Excellent interpersonal and communication skills suitable for interacting with higher-degree research candidates, staff, and industry partners, coupled with a strong commitment to teamwork and multidisciplinary collaboration.


Desirable criteria


	Research Experience: Proven research experience in sensor networks or I4.0 systems, demonstrated by a few top-tier publications. The candidate should have minimal publications in lower-rate conferences and journals, with preference for A*-rated venues.
	Research Track Record: An emerging track record and recognition for quality research outputs in sensing, information, and data management systems, including developing new research initiatives, securing competitive research funding, and establishing industry links.


Qualifications: An undergraduate/postgraduate in Computer Science/Engineering related field is desirable

Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

To Apply

Please submit your CV, cover letter, and separately address the Key Selection Criteria for this position by clicking on the 'Apply' link above.

For further information about this position, please see the Position Description below or contact Associate Professor Ben Cheng, Manufacturing, Materials and Mechatronics Discipline at ben.cheng@rmit.edu.au

Applications close on Thursday, 9th of January 2025.

Position Description - Research Fellow

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.

About RMIT University

RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work.

https://www.rmit.edu.au/about

https://www.universitiesaustralia.edu.au/university/rmit-university

Why work at RMIT University

Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice.

We want to attract those who will make a difference. View RMIT's impressive standings in university rankings.

https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings

Bring Your Whole Self to Work

We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond.

We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins.

RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples.

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 Kassie (Senior Talent Acquisition 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.


RMIT University

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 clinical practice education and academic endeavour, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with clinical impact is aimed at helping the healthcare and social services sector innovate and grow.

As a young university, we would like to foster an academic environment that seamlessly integrates teaching, applied research and clinical practice. 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 allied health professionals.?We currently have positions available at all levels, from Lecturer to Full Professor, for the discipline-?Psychology?in the Health and Social Sciences Cluster.

Applicants should possess:


	an earned PhD or equivalent from a reputable university in Psychology/ Clinical Psychology/Health Psychology, and
	research track record in the area of Psychology or Health Sciences.


The appointee will be expected to undertake funded clinical-relevant research, teach modules in SIT’s Health and Social Sciences undergraduate and/ or postgraduate programmes, as well as supervise students in applied learning and research activities. The appointee may also be provided with paid leave to undertake consultancy work with the healthcare industry and/or spend time attached with the industry.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. Please contact the Human Resource via HR_Faculty@singaporetech.edu.sg if you have any enquiries relating to this faculty position.


中国A片

Indiana Wesleyan University-Marion

About

Discover similar universities

Company

Legal