University of Life Sciences in Lublin

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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 Higher Education 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 Higher Education 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

$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.

IMPORTANT: This site is optimised for the latest versions of Internet Explorer, Safari, Firefox and Chrome. Note that earlier versions of any browsers mentioned are supported, but likely to demonstrate slower response times.

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University of South Australia

United Kingdom, Glasgow

Salary range:  £32,296 - £35,880
FTE:  1.0 (35 hours per week)
Term:  Open
Closing date: 13 January 2025

The University of Strathclyde is a leading international technological university, with a worldwide student population, and it is committed to providing a first-class experience to its students. Our students expect to be able to use their own devices, and to have a consistent user experience and seamless user journey. It is now accepted that most students will have a smart phone when they join the University, making the continued provision of a comprehensive and accessible app development service essential to ensuring students can make the most of their time at Strathclyde. An exciting opportunity has arisen for an experienced Digital Communications Officer to lead the digital communications work of the Collaboration Services (CS) team, including the Mobile App Development Service, responsible for StrathApp, the University’s corporate App for students and staff.

We are seeking to appoint a candidate with a proven track record in digital communications, with skillsets in the following areas:


	Development of high-quality mixed-mode digital content that is innovative and engaging for a student audience.
	Management of StrathApp digital communication channels e.g., PUSH notifications, promotions, stories
	Stakeholder engagement and onboarding for the continuous improvement and innovation of digital communications for large-scale IT systems, including the Mobile App Development Service and its ecosystem of apps.
	Elicitation of requirements through stakeholder engagement activities to ensure powerful customer voice in technical documentation for developers. Experience of Agile development methods would be highly advantageous.
	Marketing and events management, including agile planning groups and student co-creation teaching activities.


As the team’s Digital Communication Officer, you will have a proven track record of working efficiently and effectively, as part of a multi-disciplinary team, to identify gaps and enhance services for IT systems users.

You will assess and interpret patterns of user communication and engagement to highlight opportunities for enhancement of IT services and systems. You will ensure the smooth running of communications for the Mobile App Development Service, by managing all StrathApp content and communication requests from university stakeholders. You will demonstrate a broad range of digital marketing and communications skills and have specialist understanding of student user journeys, Voice of the Customer, and Agile project management techniques. This role would suit an applicant with experience of the Scrum Master role.

The Role:


	As Digital Communications Officer for the Mobile App Development Service: successfully manage, support, and enhance both StrathApp and wider digital communications channels for the Collaboration Services team. A key first task will be the creation of a digital community for the growing eco system of apps within the University (e.g., Strath Union, StrathReps, catering, Strath Sport, etc.).
	As the CS team’s Digital Communications specialist, advise on improvements to digital services, IT systems and related business processes.
	Supervise student placement/project assistants, playing a key role in Student Co-creation activities.
	Be the institution’s leading champion for App Digital Communications working alongside colleagues in ISD, Student Experience, Marketing & Development Services, Education Enhancement, and Strath Union to define and implement a Student Digital Communications Strategy
	 With the team, ensure compliance with university policy and wider legislation on Branding, University Values, the commercial app stores (Google, Apple), Digital Accessibility, Privacy & Electronic Communication Regulations (PECR) and General Data Protection Regs (GDPR).
	Benefits
	In return, you will receive ‘on-the-job’ training, a generous holiday package and be eligible to subscribe to a variety of schemes associated with being an employee of the University.


Interviews are scheduled to take place on 23 January 2025.

For informal enquiries, please contact Donna Brawley, Collaboration Services Manager at donna.brawley@strath.ac.uk

Click here for full details


University of Strathclyde

United Kingdom, Birmingham

Salary £37,999 - £40,247 per annum Contractual hours 37 Basis Full Time Package Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type Professional Services Date posted 18/12/2024 Job reference REQ000228 Attachments attachmentAlumni Engagement Manager - JDPS - Dec 24.pdf Job description

An exciting opportunity has arisen within our Hired team to join us on a fixed-term contract as an Alumni Engagement Manager.

Hired provides careers, employability and placement services to our students and supports our alumni. You will be based in the beautiful Baskerville House and will lead on the operational delivery of our Alumni Engagement Strategy.

You will be the main point of contact for internal and external stakeholder engagement and will champion alumni activities across the University. A key element of the role will be developing and implementing a programme of events, volunteering opportunities and communications, to support and engage our diverse global alumni community.

The postholder will have experience of working within alumni relations within the HE sector along with experience of developing and implementing communication and engagement strategies.

It is an exciting time to join the university and be involved in shaping future generations by showcasing the amazing achievements of our alumni.

The role is full time, fixed term (up to 12 months)

Standard Information

UCB is an equal opportunities employer.

University College Birmingham is proud to have been voted 5th in the Post Graduate Education category in the prestigious 2024 Whatuni Student Choice Awards. The awards are voted for and by students showcasing the incredible relationships we foster here at University College Birmingham between Staff and Students. We are TEF rated Silver, with a Good Ofsted rating.

University College Birmingham has a unique collaborative partnership with the University of Warwick - Ranked ninth in the 2024 Guardian League Tables and 67th in the World QS University Rankings 2024

You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work.

All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement.

All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.


University College Birmingham

United Arab Emirates, Abu Dhabi

Description

We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, demography, or a related discipline. This is a three-year appointment and will begin September 1, 2025, subject to final budget approval. 

The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Sabino Kornrich and Luca Maria Pesando. The collaborative research will focus on parenting in an international or comparative perspective, ideally using experimental and quasi-experimental methods to examine parenting norms.

 We seek a candidate with expertise in childhood, parenting, or the family broadly, and with interest in inequality and social stratification. An ideal candidate would also have strong methodological skills, either quantitative or qualitative, and have some exposure to survey experiments in the social sciences.

 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.

 For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript, and two letters of reference, all in PDF format. If you have any questions, please email Sabino Kornrich at sk8433@nyu.edu.

About NYU Abu Dhabi

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.

 Working for NYUAD

To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family.

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.

Deadline: Feb 14, 2025 at 11:59 PM Eastern Time


New York University Abu Dhabi Corporation

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University of Life Sciences in Lublin

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World University Rankings 20251501+

Life Sciences 2024801-1000^th

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Life Sciences801–1000^th

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University of Life Sciences in Lublin

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Life Sciences 2024801-1000th

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Subjects Taught at the University of Life Sciences in Lublin

Life Sciences.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}801–1000th

Life Sciences 2024801-1000^th

Life Sciences801–1000^th