University of Bielsko-Bia?a

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United Kingdom, Glasgow

Closing date: 03/01/2025
Salary Range: ?34,866
FTE: 1
Contract Type: Fixed Term (1 year)

The Research Assistant, alongside PhD and other PDRA workers assigned to the project will design and enable the synthesis of novel small molecule inhibitors of the Androgen Receptor. This will require a thorough grounding in synthetic organic chemistry, allied with experience of array synthesis approaches, as well as associated purification and analysis techniques. From consideration of biological data generated by programme team colleagues, the PDRA (with input from the PI) will lead on the design and synthesis of new compounds which meet agreed lead candidate criteria. Direct experience of academic or industrial medicinal chemistry is an advantage but not considered essential. The PDRA is expected also to engage in knowledge exchange processes with Aberdeen colleagues and other external partners as appropriate, as well as assisting in the administrative duties associated with the group of Prof Jamieson at the University of Strathclyde.

For informal enquires, please contact Professor of Medicinal Chemistry, Craig Jamieson (craig.jamieson@strath.ac.uk).

please click here for further details


University of Strathclyde

Malaysia, Sepang, Selangor

SCHOOL OF ELECTRICAL ENGINEERING AND ARTIFICIAL INTELLIGENCE

XIAMEN UNIVERSITY MALAYSIA

Xiamen University (XMU), established in 1921, is the first university founded by an overseas Chinese in the history of modern Chinese education. As one of the China’s leading research universities, XMU is ranked #198 in Best Global Universities at US News Best Global Universities 2024-2025.

Xiamen University Malaysia (XMUM) is an international branch campus of XMU, located in the Greater Kuala Lumpur, which is one of the most developed economic, cultural, and transportation centres in Southeast Asia and the one of best places in the world for expats (Expat City Ranking 2023).

Being the first Chinese university branch campus in Malaysia, XMUM aspires to become a university with a distinct global outlook, featuring first-class teaching and research, and embracing cultural diversity. School of Electrical Engineering and Artificial Intelligence (SEEAI) is now seeking highly motivated, committed, and qualified individuals for the positions of Assistant Professor / Associate Professor / to join our diverse and dynamic faculty.

ESSENTIAL REQUIREMENTS


	Applicants must possess a PhD degree in a related discipline
	Track record in research, ability to contribute to the research strengths of the discipline, through high-quality international publications and/or attracting competitive external research grants in the related field
	Evidence of high quality teaching ability
	Ability to supervise undergraduate and/or postgraduate students for final year/research project
	Outstanding English communication skills
	Indication of the capacity to engage as a member of committees for the University community
	Ability to contribute to the administrative duties and governance at any or all of school, faculty or University level
	Ability to work positively and cooperatively with staff and students


ACADEMIC POSITIONS AVAILABLE

Applicants with specific teaching and research interests in the following area(s) are encouraged to apply:

1. ELECTRICAL AND ELECTRONICS ENGINEERING*


	Embedded Systems
	Computer Vision and Robotics
	Digital System Designs
	Semiconductor Physics and Device Processes
	PCB Designs and Techniques
	Power Quality
	Engineering Mathematics
	Probability and Statistics


*Applicants with a Professional Engineer qualification?(PEng)?or Chartered Engineer (CEng) from IPEA, APEC and WA signatories and Graduate Engineer/Professional Engineer Certificate from Board of Engineers Malaysia (BEM) is a requirement.

2.ARTIFICIAL INTELLIGENCE


	Computational Cognitive Science
	Strategic Reasoning for AI
	Advanced Data Analysis
	Python and Tensorflow Programming


3. ROBOTICS AND AUTOMATION ENGINEERING 


	Engineering Mechanics and CAD
	Mobile Robotics
	Automation Engineering
	Smart Sensors and Actuators
	Intelligent Control and Systems
	Machines and Power
	Engineering Operations Management
	Digital Robotics


WHY CHOOSE XMUM


	First overseas branch campus established by a trusted and renowned Chinese university with a long history of academic excellence
	International working opportunity imbued with distinctive Chinese elements
	Diverse campus culture coupled with state-of-the-art infrastructure
	Competitive salary commensurate with qualification and experience in Malaysia
	Comprehensive fringe benefit package, including annual leave, medical insurance, housing and transportation allowance etc.
	On-campus accommodation will be given the priority to the international staff subject to the availability
	Internal research funding and individual Office will be provided
	Strategic location in Greater Kuala Lumpur region and healthy living neighbourhood


HOW TO APPLY

Applicants are invited to submit a digital application packet to:

recruit_academic@xmu.edu.my

The subject line of your email must include: your name, relevant academic discipline, and the specific position for which you are applying for. All application packets must include the following attachments:


	Your detailed and current CV with publication (*Asterisk to indicate corresponding author include Indexing & Quartile);
	Cover letter stating the source of job advertisement;
	Evidence of academic qualifications (Bachelor, Master & PhD Certificate; Bachelor, Master & PhD Transcripts and Professional Certificates);
	3-5 Full-Text publications (if applicable);
	Teaching evaluation (if applicable);
	Two academic references (at least one of them is the applicant’s current/most recent employer).


ADDITIONAL INFORMATION:


	We thank all applicants for their expressed interest. However, ONLY shortlisted applicants will be notified.
	Review of applications will begin immediately and continue until the positions are filled.
	Anticipated commencing semester:? February / April / September.
	Welcome to visit http://www.xmu.edu.my for more details.



Xiamen University Malaysia

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 成人VR视频 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 成人VR视频 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

Ireland, Maynooth

Department: School of Business
Vacancy ID: 032841
Closing Date: 12-Jan-2025

We are seeking a highly motivated and skilled candidate to join our team as a Research Assistant, providing essential research and support to our dynamic and productive academic department. This role will involve significant contributions to the research teams working on the EU Horizon RIA project FLOW, focusing on the seamless development of user interface (UI) and user experience (UX) for an innovative EV mobile application in the renewable energy sector. The Research Assistant will play a key role in supporting the UI/UX development process, including contributing to the design and optimization of user-friendly features tailored to EV application users, assisting with iterative improvements to enhance functionality and performance, identifying and resolving bugs in the application, and aiding in the preparation of technical reports and documentation.

Research Assistant Level 1 (2024) Salary Scale:?€31,962 p.a. (1 point)

Appointments will be made in accordance with public sector pay provisions.

Closing Date:?

23:30hrs (local Irish time) on?Sunday, 12th January 2025

Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system.

Late applications will not be accepted.

Maynooth University is an equal opportunities employer

The position is subject to the Statutes of the University


Maynooth University

$80,099 per annum (plus 17% superannuation)

Australia, Mawson Lakes


	Based in the UniSA STEM Unit at the Mawson Lakes Campus?
	Full-time, fixed term contract until Dec 2027
	Commencement salary: $80,099 per annum (plus 17% superannuation)


About the Role?

Reporting to the Professorial Lead, you will support UniSA STEM's research efforts by contributing to the project “ANVIL: A Narrative Analysis and Visualisation Toolkit for AI Disinformation Campaign,” funded through a DSP Multi-Party Collaborative Agreement with UniSA, UTS, UA, and the Department of Defence.

About UniSA STEM?

At the forefront of cross-disciplinary collaboration,?UniSA STEM?is developing the next wave of innovative thinkers and new possibilities. Harnessing connections across science, technology, engineering and mathematics, we create innovative solutions and groundbreaking developments across teaching, learning and research.?

About UniSA?

The?University of South Australiais Australia’s University of Enterprise. Our culture of innovation is anchored around global and national links to academic, research and industry partners. Our graduates are the new urban professionals, global citizens at ease with the world and ready to create and respond to change. Our research is inventive and adventurous and we create new knowledge that is central to global economic and social prosperity.

Essential Skills and Experience?


	A bachelor degree in an appropriate Science or Engineering area relevant to the research area.
	Strong written and oral communication skills, showcased through research reports, publications, educational materials, and effective collaboration with partners, colleagues, and students
	Experience in full stack web development with NodeJS, React framework and Loopback or NestJS development
	Experience with game engines, C# and Unity development. Experience with AR/VR platforms such as Meta Quest
	Ability to design and implement User Interfaces


Benefits?

Getting a great job working with the best is just the start. UniSA rewards its staff with a wide variety of benefits such as:?


	Access to great personal development opportunities
	Generous superannuation contributions of 17%
	Employee assistance and development programs
	A range of salary packaging options, including vehicle leasing, laptops and car parking fees
	A variety of leave arrangements


Culture??

At the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability. ?

Start Your Unstoppable Career!?

For a copy of the position description and to apply, please visit?Working at UniSA. The online application form will list the specific selection criteria that you need to address. ?

Please address your cover letter to?Georgia Borg, Consultant: Recruitment Central.??For further information about the position or the recruitment process, please contact UniSA Recruitment Central on +61 8 8302 1700 or via email at recruitment@unisa.edu.au using job reference number?6891.?

Applications close: 11:30pm Sunday 5 January 2025

We are committed to providing an equitable and barrier free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on?recruitment@unisa.edu.au. Anything you tell us will be kept completely confidential.

Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.?

CLICK HERE for Position DescriptionOpens in new window

How to apply:


	Preview Application FormOpens in new window


Applications must be lodged online, please note UniSA does not accept applications via email.


	Start your application by clicking the ‘BEGIN’ button
	If you have already registered for an account, please?login?before starting your application
	If you have forgotten your log in details,?click here?to reset your password
	You will be able to save your progress throughout your application


UniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.

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University of Bielsko-Bia?a

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