Khayyam University

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Finland

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. 

We are now looking for

Two Research Assistants for M.Sc. thesis projects in Machine Learning for 6G subnetworks

In these positions you will have a chance to make an impact by developing novel concepts for managing mobile subnetworks of an umbrella 6G network. In the project you will learn to combine machine learning with 6G wireless networking, being in the forefront in combining two of the most important contemporary technology research trends.

Your role and goals 

You will be working on applying reinforcement learning to manage network resources in sub-networks. There are multiple sub-networks, each independently controlled by a respective agent, with all other subnetworks creating interference to the subnetwork of interest. The topic of the first thesis is autonomous sub-channel selection. The other thesis is on jamming avoidance, where some of the other agents are malicious jammers. The objective is to perform the research leading to an M.Sc. thesis and to write the thesis during the thesis project duration.  

Your network and team 

The positions are in the Communication Theory Research group led by Prof. O. Tirkkonen, at the Department of Information and Communications Engineering of Aalto School of Electrical Engineering. The research group has a long experience in industrially relevant research pushing the boundaries of physical layer wireless communications systems.

Your experience and ambitions 

Required qualifications:


	Studying in  an Aalto engineering M.Sc. program
	Understanding of the fundamentals of wireless communications
	Understanding of the fundamentals of machine learning
	Good analytical, programming and problem-solving skills
	Good written and oral communication skills in English. Finnish language is not required.


What we offer  

You have the possibility to graduate as an M.Sc. in the rapidly progressing field of AI/ML for wireless communications, with cross-domain fertilization guaranteeing both scientific relevance and industrial applicability.

The thesis project duration is six months. The salary of a Master thesis worker is 2500 EUR/month. The planned starting date is Jan 2, 2025. The workplace is at the premises of the department in Otaniemi.

To apply, please share the following application materials with us through our recruitment site ("Apply now!”).


	Brief cover letter (max two pages).
	CV (max four pages) with a list of publications, if any.
	Academic transcripts of your B.Sc and M.Sc. studies


by Dec 8, 2024. We will go through applications, and we may invite suitable candidates to interview already during the application period. You will hear from us the latest in the middle of December 2024.

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). 

For more information regarding the open position, please contact Professor Olav Tirkkonen (olav.tirkkonen@aalto.fi). In any recruitment process related questions, please contact HR Advisor Monika Mäkinen (hr-elec@aalto.fi).  

Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto  

Check out our new virtual campus experience: https://virtualtour.aalto.fi/ 

About Finland 

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff. 

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity
twitter.com/aaltouniversity


Aalto University

United Kingdom, Southampton

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


University of Southampton

Australia, Bundoora


	Continuing, Full Time Position
	Position based at Melbourne (Bundoora) campus
	Attractive Remuneration Package available
	Champion a strong continuous improvement culture


About the position

Reporting to the Associate Director of Digital Partnering, this position plays a critical role in understanding the business needs of different university departments and aligning them with digital solutions and strategies. The Digital Business Partner serves as a trusted advisor, working collaboratively with stakeholders to identify opportunities for digital optimisation, improve operational efficiency, and enhance the overall student and staff experience.

Skills and Experience

To be considered for this position, you will have:


	Strong understanding of digital technologies and trends, including cloud computing, mobile applications, and data analytics.
	Familiarity with digital platforms and tools, such as content management systems, customer relationship management systems, and learning management systems.
	Excellent communication and interpersonal skills, with the ability to build rapport and influence stakeholders at all levels of the organisation.
	Strong problem-solving and critical-thinking abilities, with a focus on delivering practical and innovative solutions to complex challenges.


Please refer to the Position Description for other duties, skills and experience required for this position.

Welcome to Bundoora campus – Please click on the video link below:  

https://f.io/KDo0ceng

How to apply

Closing date: 11:55pm Sunday 1st December 2024

Recruitment Enquiries: recruitment@latrobe.edu.au

Position Description below:

PD-Senior Digital Business Partner - HEO9 (1) (2).pdf

Only candidates with Full Working Rights in Australia may apply for this position.

Please submit an online application ONLY and include the following documents:


	Cover letter;
	An up to date resume


Please scroll down to apply.

Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




La Trobe University

£38,232 pro rata per annum, including London Weighting Allowance

United Kingdom, London

About Us

King’s College London is an internationally renowned university delivering exceptional education and world-leading research. The university is dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place.  Through its commitment to exceptional education, impactful research and genuine service to society, King’s College London is creating positive change in its communities, both in London and on the world stage. The Strategic Vision 2029 looks forward to King’s College London’s 200th anniversary in 2029 and sets out ambitious plans in five key areas:


	Educating the next generation of change-makers
	Challenging ideas and driving change through research
	Giving back to society through meaningful service
	Working with our local communities in London
	Fostering global citizens with an international perspective


About the role

This is a part time Research Assistant position investigating how accurately pose estimation models can determine arm kinematics in stroke survivors. The post is located within the Centre for Human and Applied Physiological Sciences, within the Faculty of Life Sciences and Medicine at King’s College London.

 

The successful applicant will be expected to be proficient at deploying pose estimation models. You will measure arm biomechanics of stroke survivors and determine their accuracy. The post holder will be responsible for conducting all testing, analysing data and write up of the studies. The successful candidate should have a background in computer vision and additional knowledge of biomechanics is desirable. They should be highly competent in Python, with experience in MATLAB and data analysis libraries (e.g., NumPy, SciPy, pandas), while proficiency in C++ is desirable.

 

The position will be supervised by Dr Ulrike Hammerbeck, Dr Letizia Gionfrida and Dr Irene Di Giulio.  The work will be conducted on the Guy’s Campus of King’s College London.

 

This is a part time post (17.5 hours per week), and you will be offered a 1-year fixed term contract starting 3 March 2025 until 2 March 2026. This post is fully based on the campus.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

 

Essential criteria


	A MSc (or equivalent) in Computer Science, AI, bioengineering or a related field
	Experience of using computer vision in research projects
	An understanding of the research process performed in accordance with the ethical principles of working with humans
	Proven ability to work as part of a team
	Excellent communication skills when dealing with participants
	Experience in data analysis using Matlab/Python or equivalent software
	Able to work independently under own supervision
	Experience of report/journal article writing


Desirable criteria


	Experience using biomechanics
	Experience of research working with individuals with neurological disease
	Experience of research related to pose estimation models


Further Information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

 

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

 

To find out how our managers will review your application, please take a look at our ‘ How we Recruit’ pages.

 

Interviews are due to be held on 17/12/2024.

 

We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.


King's College London


	Continuing, Full Time Position
	Position based at Melbourne (Bundoora) campus
	Attractive Remuneration Package available
	Champion a strong continuous improvement culture


About the position

Reporting to the Senior Manager, Networks and Facilities, this position is instrumental in ensuring the reliability, scalability, and performance of the network infrastructure. The Senior Network Engineer provides expert technical leadership, oversees network engineering projects, and collaborates with cross-functional teams to advance the university's technological capabilities.

Skills and Experience

To be considered for this position, you will have:


	A degree with substantial extension of the theories and principles, learned through experience; or a range of management experience; or postgraduate qualifications, or progress towards postgraduate qualifications with extensive relevant experience; or an equivalent alternate combination of relevant knowledge, training and/or experience.
	A solid understanding of modern enterprise network architecture principles, including designing, configuring, and optimising network topologies to meet organisational requirements.
	Technical expertise and leadership to design, implement, and optimise Cisco SDN solutions that meet the university's requirements and objectives.
	Collaboration and teamwork to work effectively with cross-functional teams and contribute to university-wide initiatives in SDN and network infrastructure.


Please refer to the Position Description for other duties, skills and experience required for this position.

Welcome to Bundoora campus – Please click on the video link below:  

https://f.io/KDo0ceng

How to apply

Closing date: 11:55pm Sunday 1st December 2024

Recruitment Enquiries: recruitment@latrobe.edu.au

Position Description below:

PD-Senior Network Engineer.pdf

Only candidates with Full Working Rights in Australia may apply for this position.

Please submit an online application ONLY and include the following documents:


	Cover letter;
	An up to date resume


Please scroll down to apply.

Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.

La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.

All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.




Khayyam University

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