Post-Doctoral Opportunity in Edge AI & Wireless Networks. 12/07/2025. Fecha límite: 31/08/2025
Exciting Post-Doctoral Opportunity in Edge AI & Wireless Networks!
Hosted by the Wireless and Artificial Intelligence Laboratory (WAI Lab) at Inatel, this scholarship offers the chance to conduct cutting-edge research at the intersection of AI, IoT, 5G/6G, and Embedded Systems.
Research Focus:
Resource-aware Machine Learning Model Optimization for Edge Computing
Aim: Reduce computational complexity, latency, memory usage, and energy consumption in AI models for edge devices.
What's Offered:
Monthly stipend: BRL 10,000
Duration: 12 months, possibly renewable for another 12 months
Work on real-world applications in resource-constrained environments
Requirements:
Submit your CV, academic background, recent publications, Lattes link, and professional summary.
Desired Expertise:
Machine Learning (TensorFlow, PyTorch, ONNX)
Programming (Python, C/C++, Matlab)
5G/6G, SDR, IoT systems
Wireless communication (MIMO, channel estimation, etc.)
English fluency and a strong academic publication record
Apply by: August 31, 2025
Send applications to: rausley@inatel.br and felipe.figueiredo@inatel.br
Subject: Post-doc position - EmbeddedML
Details: www.inatel.br/mestrado-doutorado
If you're passionate about building efficient, intelligent systems at the edge, this is your opportunity to make a real impact. Please reshare with your network!
Assistant Professor Position at the University of Coimbra (Portugal). 11/07/2025. Fecha límite: 07/08/2025
The Department of Informatics Engineering at the University of Coimbra (Portugal) is pleased to announce an international call for applications for one tenure-track position at the level of Assistant Professor in the field of Informatics Engineering, with a focus on the sub-areas of Dependability or Software Engineering.
Applications are open until August 7, 2025.
More details and the official application portal can be found here: https://apply.uc.pt/IT136-25-15300
Bolsa de Pós-Doc - Projeto PRIME. 07/07/2025. Fecha límite: 13/07/2025
O Projeto PRIME (Parkinson Research for Innovative Monitoring and Evaluation), financiado pela Samsung, está com vaga de Pós-Doutorado aberta no Instituto de Computação da Universidade Federal do Amazonas. O objetivo é desenvolver e validar algoritmos para monitoramento de sintomas motores e não-motores em pacientes com Doença de Parkinson, outros parkinsonismos e tremores, por meio de dispositivos vestíveis que coletam continuamente dados sobre tremores, discinesia, bradicinesia, fenômeno de "freezing of gait", sono e fala.
Requisitos do(a) candidato(a):
- Doutorado em Engenharia, Ciência da Computação, Estatística, Matemática Aplicada, Neurociências ou área afim (título obtido até início da bolsa);
- Experiência em aprendizado de máquina e análise de sinais biométricos;
- Domínio de Python (TensorFlow, PyTorch, scikit-learn);
- Sólido histórico de publicações em IA, processamento de sinais ou áreas correlatas.
Benefícios e prazo:
- Bolsa de R$ 15.000,00 mensais;
- Duração inicial de 12 meses (prorrogável por mais 12);
- Dedicação exclusiva;
- Inscrições até 13/07/2025.
Como se inscrever:
Envie um único PDF contendo:
1. Carta de apresentação (motivação e experiência)
2. Currículo Lattes atualizado
3. Cópia do diploma de doutorado e histórico acadêmico
para @email (assunto: "Pós-Doc PRIME – Seu Nome").
Início previsto: agosto de 2025.
Para dúvidas, contatar @email.
PhD Position in Computer Engineering: AI-Based 6G Wireless Communication. 03/07/2025. Fecha límite: 20/08/2025
PhD Position in Computer Engineering: AI-Based 6G Wireless Communication
Location: Mid Sweden University, Campus Sundsvall
Application Deadline: August 20, 2025
The Department of Computer and Electrical Engineering at Mid Sweden University is inviting applications for a PhD student position in Computer Engineering, with a research focus on AI-based 6G wireless communication systems.
The position is part of a larger research initiative conducted within the Communication Systems and Networks (CSN) group – a leading Scandinavian research team in wireless connectivity. The group consists of about 30 researchers from various national backgrounds, collaborates with several international institutions, and maintains strong partnerships with major telecom companies.
Project scope:
This project focuses on the development of explainable and robust AI methods for Open Radio Access Networks (O-RAN), targeting next-generation 6G wireless systems. Research tasks include the development of programmable and intelligent O-RAN components, real-time control and resource allocation, explanation of AI decisions, and detection of inconsistencies. The work will address 6G-relevant technologies such as Massive MIMO, network slicing, and cross-layer optimization.
As a doctoral student, you will work in a dynamic and research-intensive environment, collaborating with both academic and industry experts.
Job description:
The position is 100% research, leading initially to a licentiate degree, with the possibility to extend toward a full PhD pending additional funding. You will conduct both theoretical and experimental work.
Entry requirements:
Applicants must meet the entry requirements for admission to Mid Sweden University's third-cycle programme. A relevant second-cycle degree (e.g., Master's) is required, consisting of at least 240 ECTS credits, of which 90 credits should be in Computer Engineering. Equivalent qualifications obtained in other ways may also be considered. A Master of Science in wireless communication, signal processing, electrical engineering, computer engineering, or engineering physics is suitable.
Assessment criteria:
Selection is based on academic performance, thesis work, relevant coursework, and interviews. The ideal candidate will have:
- A strong background in wireless communication
- Solid theoretical foundations in linear algebra, optimization, and statistics
- Familiarity with stochastic processes is desirable
- Experience with AI/ML, simulation tools, or network testbeds is an advantage
- Programming skills in Python, Matlab, or C/C++
Personal qualities:
We are looking for a candidate who:
- Has a strong interest in radio technology and network optimization
- Works independently and systematically
- Is collaborative and solution-oriented
- Demonstrates strong analytical ability
- Communicates clearly in English
Terms of employment:
Full-time employment starting by agreement. The initial appointment is for one year, renewable in accordance with the Higher Education Ordinance (1993:100). The licentiate programme may be extended to a full doctoral programme depending on funding. Salary is based on the university's doctoral student scale.
Application:
Applications should be submitted in English or Swedish and must include:
- CV
- Official transcripts and degree certificates
- Short statement of research interest and career goals
- Any additional supporting materials
Please apply via Mid Sweden University's recruitment system no later than August 20, 2025.
For more information, contact:
Prof. Mikael Gidlund – @email
Dr. Patrik Österberg, Head of Department – @email, Tel: +46 601 48614
Information about processing of personal data at Mid Sweden University: www.miun.se/en/personaldata
Open postdoc position (3 years) in "Formal Engineering Support for Field-Programmable Gate Arrays", combining FPGAs with formal methods. 25/06/2025. Fecha límite: 31/07/2025
The research group at Clausthal University of Technology in Germany currently has an open *postdoc position* to be filled, with funding for *three years*. This is long enough for writing a German "Habilitation" thesis while holding the position (in case of interest in doing so).
The open positions are in the scope of the "Formal Engineering support for Field-Programmable Gate Arrays" endeavor (funded by the Volkswagen Foundation), in which we will bring the concept of reactive synthesis into the world of FPGAs.
Reactive synthesis is the process of automatically synthesizing finite-state systems from temporal logic specifications and bases mostly on automata-theoretic ideas. The aim of the endeavor is to establish a new reactive synthesis approach for computing highly energy-efficient implementations for FPGAs. The approach does not replace high-level synthesis, but rather augments it by targeting the coordination of different implementation components (on an FPGA), for which reactive synthesis is well-suited. A particular challenge that we want to tackle in this context is the use of bigger modules or hard IP for multiple purposes and automatically synthesizing implementations that coordinate between these purposes in order to maximize the utilization of these bigger modules. There is considerable flexibility in concretizing these ideas, and to support this concretization process, the postdoc to be hired is expected to have an FPGA background or a formal methods background.
Further information about my research group is available at https://urldefense.com/v3/__https://www.isse.tu-clausthal.de/en/research/research-groups-1/acps-automating-cps-design__;!!D9dNQwwGXtA!Syaquqdi8OiFJcx0OY2KY3pvfbLpnJEbJz2FfYQumVRsgc1J4n_nCDQrFV1MR6hB5k3iwn6139dvmIgyNRIDNeeWrg2PIqK5$ and a longer description of the endeavor in particular can be found at https://urldefense.com/v3/__https://www.isse.tu-clausthal.de/en/research/research-groups-1/acps-automating-cps-design/formal-engineering-support-for-field-programmable-gate-arrays__;!!D9dNQwwGXtA!Syaquqdi8OiFJcx0OY2KY3pvfbLpnJEbJz2FfYQumVRsgc1J4n_nCDQrFV1MR6hB5k3iwn6139dvmIgyNRIDNeeWriAR5Ma0$
An official job advertisement can be found at: https://urldefense.com/v3/__https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/wissenschaftlicher-dienst/research-assistant-m/f/d-2__;!!D9dNQwwGXtA!Syaquqdi8OiFJcx0OY2KY3pvfbLpnJEbJz2FfYQumVRsgc1J4n_nCDQrFV1MR6hB5k3iwn6139dvmIgyNRIDNeeWrkOhX3XG$
The postdoc to be hired has a lot of freedom in shaping the position and can integrate her/his own ideas. Funding for travel (e.g., for conference participations or research visits) is available.
The application deadline is the 31th of July. Starting date is as soon as possible. If you want to apply, please send you application to: @email. If you have any questions, please send an e-mail to @email - I will be happy to answer.
Open PhD Position at TU Dresden, Germany. 16/06/2025. Fecha límite: 27/06/2025
We currently have the following open PhD position at the Chair of Adaptive Dynamic Systems at TU Dresden, Germany
(For more details see: https://www.hipeac.net/jobs/15109/research-associate-phd-student-mfx/ )
Research Associate / PhD Student (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The position is limited to 36 months. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further academic qualification (usually PhD). Balancing family and career is an important issue. The position is generally suitable for candidates seeking part-time employment. Please indicate your request in your application.
Position#6: TRR404-TUD-B07
Project: B07 Reconfigurable Architecture
Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems)
Terms: 100% of the full-time weekly hours
Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks
Requirements: Excellent university degree (master or comparable) in computer engineering or electrical engineering. A strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA)
What we expect from you:
- above-average degree achieved in short study period
- willingness and ability to think beyond the boundaries of your field, to act in an international and diverse environment and to live an open and constructive communication
- strong analytic and problem-solving skills, creativity
- an independent, target- and solution-driven work attitude
- fluency in English, knowledge of German would be a plus
What you can expect from us: A varied and challenging research task, embedded in a friendly, inclusive and supportive team of the TRR's Principal Investigators (i.e., project leaders and supervisors). We maintain an open and cooperative work attitude with maximum personal responsibility, mutual support with a solution-oriented approach, and flexible working hours where possible. As a PhD student you will be integrated in the TRR's Graduate School as well as becoming a member of the TU Dresden' Graduate Academy. Both will offer tailored educational programs and individual supervision agreements.
In addition, TUD offers: employment in accordance with the provisions of the collective agreement for the public service of the Länder (TV-L); an individual assignment of the collective agreement experience level taking into account your previous professional experience; 30 days annual vacation and annual bonus payment (restrictions apply); additional pension scheme (VBL); very good accessibility by public transport; car parking facilities; state-of-the-art buildings with labs equipped to a high technical standard; a wide range of offers for health promotion and for the compatibility of family and career; numerous opportunities for further training, including language courses, IT courses and other courses.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your application including a motivation letter, CV, copy of degree certificate, transcript of grades (i.e., the official list of coursework including your grades) and proof of English language skills, by June 27, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file quoting the reference number ADS_TRR404-B07 in the subject header to @email Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis
Marie Sklodowska-Curie Postdoctoral Fellowship in Verona Italy. 09/06/2025. Fecha límite: 30/06/2025
Cigdem Beyan et al. invite scholars to present expressions of interest in applying jointly with the Department of Computer Science (VIPS Research Group) at the University of Verona for a Marie Skłodowska-Curie Postdoctoral Fellowship (MSCA-PF) on Multimodal Deep Learning for Behaviour Understanding.
The details of the project are briefly given below.
PROJECT DESCRIPTION
Multimodal Understanding of Fish Behavior through Visual and Acoustic Cues
Fish behavior is a key driver of ecological processes, influencing population dynamics, predator-prey interactions, reproductive success, and social structures. Behaviors associated with reproduction, such as nest building, courtship, and mating, are particularly important for species survival and are often closely tied to specific environmental cues and seasonal patterns.
Understanding these behaviors is therefore essential for biodiversity conservation and effective ecosystem management. This project aims to develop a multimodal framework for analyzing fish behavior by integrating visual and acoustic data. The methodology involves automated detection and tracking of fish from video recordings to extract individual trajectories, which are labeled with specific behavioral categories. These visual cues are then complemented by underwater acoustic data to capture species-specific sounds related to various behavioral contexts, including courtship, territorial defense, and responses to potential threats. It is established in marine biology that fish produce sounds during critical agonistic and reproductive interactions, such as attracting mates, coordinating spawning, defending nests, or deterring intruders. Despite this, current AI systems for behavior analysis rely solely on visual data, while audio-based solutions remain largely unexplored in this domain. Visual-only approaches often struggle to interpret complex behaviors, particularly in low-visibility conditions or when acoustic signals carry essential information. By aligning movement trajectories with acoustic signals, this project seeks to provide a more comprehensive understanding of fish behavior, especially during the reproductive season when such behaviors have significant ecological implications.
HOSTING RESEARCH GROUP
Supervisor: Cigdem Beyan, University of Verona, Italy, https://urldefense.com/v3/__https://cbeyan.github.io/__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3oplcME4gy$
Co-supervisor: Vittorio Murino, University of Verona, Italy, https://urldefense.com/v3/__https://www.vittoriomurino.com/__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3opoRHuO0M$
Partner: Kim Halvorsen, Institute of Marine Research, Norway, https://urldefense.com/v3/__https://fishlarvae.org/people/scientists/kim-t-halvorsen/__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3opjxOgGbQ$
Partner: Tonje Knutsen Sørdalen, University of Agder, Norway, https://urldefense.com/v3/__https://www.uia.no/om-uia/ansatte/tonjeks/__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3ophlEh6Wm$
ELIGIBILITY
Candidates must be eligible according to the criteria established by the 2024 MSCA Postdoctoral fellowship call:
* To have a PhD by the deadline (September 10, 2025)
* To have up to 8 years of research experience after a PhD
* To be a citizen of an EU State or of an Associated Country, or a long-term resident in Europe (only for the Global Fellowship)
* Not to have resided or carried out their main activity in Italy for more than 12 months in the 36 months before the call deadline (September 10, 2025) – for European Fellowship
* Not to have resided or carried out their main activity in the country of the Host Institution in the third country for more than 12 months in the 36 months before the call deadline (September 10, 2025) – for a Global Fellowship.
Besides, candidates should be fluent in English, should have an excellent teamwork attitude, organizational skills, and the ability to work in a multidisciplinary environment.
APPLICATION
Candidates should send to the address @email the following documents by 30/06/2025 at the latest.
Documents to be sent:
1. A cover letter (one page)
2. CV
3. PhD Certificate or Proof of PhD Completion
4. Publication list
Further information
* Department Website / Centre Website: https://urldefense.com/v3/__https://www.di.univr.it/?lang=en__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3opn9aAdVk$ * Marie Sklodowska-Curie Actions: https://urldefense.com/v3/__https://www.univr.it/en/marie-curie-fellowship__;!!D9dNQwwGXtA!QVhhhB1UHfsvXOV-CR-iLVRc7Z3KDytpRdMmjAolTpl28Jg75KU3mQVxlPMJM3tNOs3oplMhceji$ * Contact address: @email
Postdoctoral Research Fellowship in Smart Technologies for Sustainable Agriculture. 26/05/2025. Fecha límite: 01/06/2025
The African German Centre of Excellence for Sustainable and Resilient Food Systems and Applied Agricultural and Food Data Science (UKUDLA) invites applications for a prestigious Postdoctoral Research Fellowship focused on transformative agricultural technologies in Southern Africa. Funded by the German Academic Exchange Service (DAAD) with support from the Federal Ministry of Education and Research, Germany, this fellowship is designed for candidates who have studied in Germany and maintain ongoing research links with German universities. UKUDLA represents a world-class international collaboration co-led by the University of Hohenheim (Germany) and the University of the Western Cape (South Africa), with strategic partnerships including the University of Pretoria, Lilongwe University of Agriculture and Natural Resources, and the University of Mpumalanga.
Research Focus
This fellowship centers on integrating Artificial Intelligence (AI), Drones, Robotics, and Internet of Things (IoT) technologies to enhance agricultural resilience and sustainability. Research will develop data-driven frameworks supporting smallholder farmers in addressing climate variability, resource efficiency, and food security challenges while advancing UN Sustainable Development Goals 2, 12, and 13.
Key Responsibilities
- Lead interdisciplinary research on AI, drone, robotics, and IoT applications in agriculture
-
Design and implement pilot studies in partnership with farming communities
-
Develop scalable, technology-enabled solutions for precision agriculture and climate-smart practices
-
Analyze real-time sensor and imaging data using advanced AI and machine learning techniques
-
Publish findings in high-impact academic journals
-
Present research at international conferences
Candidate Profile
Essential Qualifications
-
PhD in Agricultural Engineering, Computer Engineering, Computer Science, Robotics, Data Science, or related field
-
Demonstrated experience in AI/ML, embedded systems, drone/robotic platforms, or agricultural technologies
-
Programming proficiency in Python, MATLAB, R, or similar languages
-
German study background with ongoing research connections to German universities
Desired Attributes
-
Strong analytical and problem-solving capabilities
-
Excellent communication and collaborative skills
-
Commitment to transdisciplinary, impact-driven research
-
Passion for sustainable agriculture and technology innovation
Fellowship Benefits
1) Financial Support
-
Duration: 12 months (renewable based on performance and funding availability)
-
Monthly allowance: €3,900 (for South Africa-based activities)
-
Travel costs: Fully covered international flights
-
Research funding: Additional funds available upon application
2) Experience
-
International exposure: Work within a multicultural, collaborative environment
-
Career advancement: Exceptional opportunity to build expertise in cutting-edge agricultural technologies
Application Details
Application Deadline: June 1, 2025
Start Date: July 1, 2025
Locations: Germany (University of Hohenheim in Stuttgart) and any any of the Southern African institutions (University of the Western Cape, University of Pretoria, University of Mpumalanga, and Lilongwe University of Agriculture and Natural Resources)
How to Apply
The application documents can be downloaded from this link. The application can be filled online via this link.
Inquiries can be sent to @email
Postdoc Position @ Paris-Saclay University Campus: Wireless MLops, Embedded AI. 26/05/2025. Fecha límite: 30/05/2025
A new postdoc position is open at our lab at Inria on the Paris-Saclay University campus, on a topic combining digital twins, tiny neural networks and wireless communication compression.
The activities focus on novel embedded AI techniques combining two complementary aspects. On the one hand, efficient data communication using AI with neural network models that can summarize and compress data from one or more sensors to a server. On the other hand, TinyML and TinyMLops which focus on the implementation of AI directly on resource-constrained microcontrollers.
The position is 2 years long, across 2 locations: the first year in Paris-Saclay, the second year in Berlin at Freie Universität Berlin.
For more information or to apply see: https://recrutement.inria.fr/public/classic/en/offres/2025-08858
The deadline to apply is May 30th.
30 month Post-Doc Position in Computer Vision and Environnemental Studies in La Rochelle, France. 15/05/2025. Fecha límite: 13/06/2025
La Rochelle University is recruiting a post-doctoral fellow on a 30-month fixed-term contract.
This project aims at gaining a better understanding of the effects of global change on the ecology of marine birds and mammals using artificial intelligence. Recent development of bio-logging tools (small devices attached to free-ranging animals that collect behavioural and environmental data) enabled us to collect large amounts of complex multimodal data. In particular, small animal-mounted cameras provide image data on the surrounding environment in addition to behaviour of equipped animals. However, the images acquired by these 'bio-loggers' pose new analytical challenges and require the development and implementation of methods for efficiently and accurately extracting, analysing and interpreting this complex and voluminous data.
Indeed, underwater images are inherently challenging to analyze. The data collected are affected by the non-homogenous effects of light absorption and scattering in the water (blurriness, contrast, disappearance of specific colours, etc.), which could lead to misinterpretation of objects. In addition, images are collected from animals moving freely within the water column, thus can suffer from loss of quality due to ever-changing backgrounds, shifts in focus, and rapid changes in illumination, colour, water turbidity and noise.
The successful candidate will work on:
1- developing innovative methods for easy processing and analysis of video data obtained by biologging devices using machine learning-based video and image processing methods.
2- testing different types of models on biologging hardware with the objective of implementing image video processing directly on-board biologgers for near-real time transmission via satellite when animals are at sea, given the restrictions inherent to small size biologgers, limited energy supply and limited message size for data transmission.
3- Propose some frugal AI approaches which will be able to generalize on few samples, in order to learn new concepts / classes with few samples (like in the case of test-time adaptation, in-context learning or incremental learning methods).
The data used in this project will be from video-recording underwater cameras deployed on 40 Adelie penguins on the Antarctic continent, along with location and depth sensors, as well as high-resolution tri-axial accelerometers and magnetometers. This dataset will potentially be supplemented by videos recorded on seals, in different ecosystems. Training datasets have already been manually implemented and will be ready to use at the start of the project.
- Position: 30-month full-time position
- Salary: Starting from 2100 € monthly (net) for full-time work
- Experience : Candidates must hold a PhD diplôma at the time of the application. The
- recruitment is open to candidates with disabilities.
Your application must include a cover letter, a detailed curriculum vitae and a copy of highest diploma
This application must be submitted by email at: @email ; @email ; @email ; @email
More details are available here: https://ao.univ-lr.fr/index.php/s/qXkpKP4xtsXaWbs
Open Faculty Call – Two 4-Year Research Positions at Mid Sweden University. 25/04/2025. Fecha límite: 20/05/2025
The Faculty of Science, Technology and Media (NMT) at Mid Sweden University (MIUN) is excited to announce an open call for two Associate Senior Lecturer positions (4-year research-focused roles).
Position highlights:
- 4-year appointments with 70% dedicated research time
- One fully funded PhD student attached to each position
- Freedom to shape your research direction
- A vibrant, supportive research environment with active collaborations across groups
We're especially enthusiastic to welcome candidates whose expertise complements and strengthens our existing areas, including signal processing for communication networks, security and privacy, and distributed computing and algorithms.
You may find yourself working alongside our Communication Systems and Networks (CSN) group — one of Scandinavia's leading research teams in wireless connectivity and Industrial IoT (and yes, we're great collaborators).
These positions are perfect for early-career researchers seeking to establish independence, cultivate new partnerships, and create a meaningful impact.
Learn more and apply here: https://www.miun.se/en/work-at-the-university/career/jobs/vacancy/two-associate-senior-lecturers-/
Location: Mid Sweden University
We look forward to hearing from you — or feel free to share with someone who might be a perfect fit!
Information about processing of personal data at Mid Sweden University: www.miun.se/en/personaldata
PhD position in 6G at the Department of Electrical Engineering at Uppsala University in Sweden. 21/04/2025. Fecha límite: 16/05/2025
Open position in 6G Ambient IoT at Uppsala University in Sweden. Sweden has recently been ranked as the fourth happiest country in the world.
The group: The Networked Embedded Systems research group at the Department of Electrical Engineering at Uppsala University in Sweden offers an exciting PhD position and a very friendly atmosphere in an international environment. The group performs cutting edge research in backscatter communication, intermittent computing (both cornerstones in 6G Ambient IoT), in-body communication, machine learning for embedded devices and many other research directions in the area of networked embedded systems.
Project description: 6G promises to revolutionize connectivity by delivering ultra-fast data speeds, near-zero latency, and massive connectivity for billions of IoT devices, far surpassing the capabilities of 5G. A central component of 6G, Ambient IoT, is expected to enable a wide range of new IoT applications across various industries, driven by the ability to deploy and manage billions of interconnected devices. These applications include smart cities, agricultural and environmental monitoring, smart and ubiquitous healthcare, environmental sustainability by advanced waste and resource management, to name a few. Ambient IoT devices are expected to be battery-free relying on energy harvesting and using backscatter communications to reduce the energy consumption for communication to a minimum. In this project, we aim to look at both the Ambient IoT devices as well as the infrastructure to provide scalable IoT services.
Requirements: The applicant must be interested in coming up with novel solutions within the project's topic, implement and evaluate them, ideally on real hardware using low-level computer languages such as C. Very good oral and written proficiency in English, as well as very good study results are required. In addition, we expect personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving. A plus is if you have experience in both hardware and low-level software development as well as knowledge about wireless communication and networking.
Environment: We have an exciting work environment designed by the doctoral student and the research team together. The doctoral student will be supervised by at least two supervisors. The Department of Electrical Engineering also gives a salary supplement in addition to the local guidelines for doctoral students at Uppsala University. Sweden is a fantastic place for living and working and always among the top 10 countries in the world's happiness index. Swedes are friendly and speak excellent English. The quality of life is high, with a strong emphasis on outdoor activities. The Swedish working climate emphasizes an open atmosphere, with active discussions involving both junior and senior staff. Spouses of employees are entitled to work permits. Healthcare is free after a small co-pay and Uppsala University subsidizes athletic costs, such as a gym membership. The parental benefits in Sweden are among the best in the world, including extensive parental leave (for both parents), paid time off to care for sick children, and affordable daycare.
For any questions, please contact Prof. Thiemo Voigt, @email
Application: Please submit your application by May 16, 2025, at:
https://urldefense.com/v3/__https://uu.varbi.com/en/what:job/jobID:818102/__;!!D9dNQwwGXtA!WQBNFsRCI8gl5f7GMxEvqjjf9zZ7TMY-_tCUoXsT5lYTIACs6u3ov6kWPUmZ73fDqKEi0VetmCD015eiskqNnU8VpTk$
Two Open Positions (Postdoc and Ph.D.) at LIUPPA France. 21/04/2025. Fecha límite: 25/04/2025
Two open positions (Postdoc and a PhD) are open at LIUPPA Labs (https://liuppa.univ-pau.fr/en/home.html), Anglet - Biarritz, France.
- Ph.D. Title: Development of an AI-based framework using digital twin for the collection and generation of synthetic geospatial MultiSIG data for sustainable urban management. https://drive.google.com/file/d/1g0yvvgnl_ojz8EIK4xLjbdnkxSXvlwkV/view
- Postdoc Title: Multi-Agent Federated Learning for Decentralized Edge-to-Cloud Synchronization of Geospatial Digital Twins: https://drive.google.com/file/d/1lmQ_YhhojrN3iSRwwSJhmFI-YeKFCzxD/view
Application deadline April 25th, 2025
Senior Performance Engineer, Real-Time at RTI, Granada, Spain. 07/04/2025
Are you passionate about pushing software systems to their limits and ensuring they perform flawlessly in critical environments? We are seeking a highly skilled Performance Engineer to join our team and make a tangible impact by driving the performance characterization and optimization of Connext Professional.
In this role, you'll work on performance modeling, workload characterization, network performance, and bottleneck analysis to unlock the full potential of our systems. You will leverage your expertise in computer architecture, algorithms, and performance evaluation to develop benchmarks, conduct detailed analyses, and collaborate with teams to solve complex performance challenges.
If you thrive in high-stakes environments where scalability, latency, and system throughput are key to success, we want you on our team!
https://job-boards.greenhouse.io/rti/jobs/6691697?gh_src=9b7fcfdc1us
Postdoctoral position - FPGA - Virginia Tech. 04/04/2025
A postdoctoral position is available in the Systems Software Research Group (https://www.ssrg.ece.vt.edu/) at Virginia Tech (https://vt.edu/) on a hardware security project. The project goals include investigating innovative hardware abstraction layers for mitigating a class of security exploits, in a minimally invasive way to software stacks, and developing RISC-V-based prototypes. Opportunities also exist to investigate project-relevant directions of mutual interest. Opportunities to mentor PhD students and develop strong tenure-track faculty profiles exist.
Recent Computer Science or Computer Engineering PhD graduates with a thesis in reconfigurable computing, hardware acceleration, or FPGA virtualization are sought. Strong expertise in both FPGA development tools (e.g., Vivado) and compiler infrastructures (e.g., LLVM) is essential. Expertise in software infrastructures such as Linux OS kernel and virtualization infrastructures (e.g., Firecracker) is highly sought.
The position has no teaching obligations. Contact Prof. Binoy Ravindran with a CV (@email) or for any questions.
Plazas en la Universidad de Zaragoza. 03/04/2025. Fecha límite: 10/04/2025
Convocatoria del concurso público para la contratación de 14 Profesores Ayudantes Doctores, recientemente anunciada por la Universidad de Zaragoza para el Departamento de Informática e Ingeniería de Sistemas. En esta convocatoria, se buscan perfiles en las siguientes áreas de conocimiento:
- Arquitectura y Tecnología de Computadores (ATC), 2 plazas
- Ciencias de la Computación e Inteligencia Artificial (CCIA), 1 plaza
- Ingeniería de Sistemas y Automática (ISA), 1 plaza
- Lenguajes y Sistemas Informáticos (LSI), 10 plazas
Agradecemos vuestra colaboración en la difusión de esta convocatoria para que llegue a las personas interesadas. El plazo de presentación de solicitudes finaliza el 10 de abril.
Anuncio de la convocatoria:
https://www.boa.aragon.es/cgi-bin/EBOA/BRSCGI?CMD=VEROBJ&MLKOB=1385332660707
Postdoctoral Fellowship Opportunity in Smart Antenna Systems. 12/03/2025. Fecha límite: 11/04/2025
The National Telecommunications Institute (Inatel) is offering two postdoctoral positions at the 5G and 6G Network Competence Center within the Wireless and Artificial Intelligence Laboratory (WAI Lab).
Project Title: Statistical Analysis and Performance Evaluation for Advanced Smart Antenna Systems
Location: Santa Rita do Sapucaí, MG, Brazil
Fellowship: R$ 10,000/month
Application Deadline: April 11, 2025
Research Focus:
- Performance analysis of smart antennas, RIS, FAS, and movable antennas
- Optimization of 5G and 6G wireless communication systems
- Application of statistics, probability, and machine learning
Requirements:
- Ph.D. in Electrical Engineering, Telecommunications, Computer Science, or related fields
- Experience in smart antennas, statistics, probability, and ML
- Proficiency in Python, C++, MATLAB, Mathematica
How to Apply:
Send your CV, academic background, and publication list to @email & @email with the subject: "Post-doc position - Smart Antennas"
Join us in shaping the future of next-generation wireless networks! #Postdoc #Wireless #AI #5G #6G #Telecommunications
Postdoc fellowships in UFABC/FEI/Brazil about the computing continuum and AI for smart agriculture. 26/02/2025. Fecha límite: 14/03/2025
- FAPESP Post-doctoral Fellowship #1 - Call for applications
The FAPESP project "SMART: Sustainable Management of Agriculture with the Intelligent Computing Continuum" (bv.fapesp.br/en/auxilios/116446) has an open Post-Doctoral position to work at the Federal University of ABC (UFABC).
The research theme is "Smart Application Deployment for the IoT Computing Continuum", dealing with the challenges of deploying smart agriculture applications over the IoT Computing Continuum (IoTinuum), considering the inherent distribution of the end-to-end path between devices and the cloud and the need for individual services to run in multiple stages in-between. The SMART project aims to develop and deploy a trustworthy platform for smart agriculture across the IoTinuum, from field sensors to the cloud. It will utilize various sensors, data sources, networking technologies, data management, and machine learning to ensure reliable dataflow and trustworthiness. The deployment of smart applications for the IoTinuum requires the efficient orchestration of resources allocated to the services to provide the intended quality levels. Orchestration involves fulfilling the application needs by carefully matching services, resources, and workloads, including microservice placement, deployment, and migration. In the IoTinuum context, it means being aware of and monitoring the resources available in each stage, understanding the application QoS requirements (such as maximum delay), and deploying the services in the most appropriate stage, i.e., in Mist, Fog, or Cloud. An IoT smart application comprises various services (i.e., microservices), which may be deployed in different stages for distinct installations. Using a certain node within the continuum stage involves deploying services. If this stage is not used in a given installation, this service must be deployed elsewhere in another stage. Current deployment strategies cannot handle varying configurations for IoT efficient and scalable application deployment within the continuum.
The general objective of this postdoc fellowship is to design and implement an application deployment methodology for the IoTinuum that takes as input a model (such as a directed acyclic graph) representing the application and generates a deployment strategy as output. The main challenges in this proposal involve:
- A Deployment Triggering strategy, which identifies the need for a new deployment to be executed over the IoTinuum
- A Deployment Biding strategy, which means that that abstract graph representing the application will be mapped to specific nodes (with IP addresses and ports) located in different stages of the continuum, such as Thing, Mist, Fog, or Cloud
- A Deployment Distribution and installation strategy for transferring services to where they will be executed (e.g., cloud or fog)
- A preliminary version of the application deployment methodology
A highly motivated candidate is expected to show background in the following concepts:
- IoT, cloud, fog, edge, and the computing continuum
- Application deployment and DevOps strategies
- Performance analysis with experimentation techniques
- Advanced programming language skills
- Advanced English language skills
- Strong publication record
The candidate must hold a Ph.D. in Computer Science, Electrical Engineering, or related areas (less than 7 years since graduation). The fellowship's duration is 30 months, and the monthly stipend is R$12.000,00 plus 10% for research expenses.
The term for this scholarship is expected to start as soon as possible, ideally in April 2025.
Candidates should fill out the online form at:
https://forms.gle/AxC47yMXqFi9fP9K8
Deadline: March, 14, 2025
Inquiries can be sent to carlos.kamienski@ufabc.edu.br
- FAPESP Post-doctoral Fellowship #2 - Call for applications
The FAPESP project "SMART: Sustainable Management of Agriculture with the Intelligent Computing Continuum" (bv.fapesp.br/en/auxilios/116446) has an open Post-Doctoral position to work at the FEI Univerity Center (FEI).
The research theme is "Developing the Intelligent IoT Continuum for Precision Agriculture: Task Allocation, Forecasting, Resource Management, and Data Analytics", dealing with the challenges of deploying smart agriculture applications over the IoT Computing Continuum (IoTinuum).
This project aims to develop an intelligent Internet of Things (IoT) system focused on precision agriculture. The aim is to create an interconnected network of devices capable of collecting and analyzing data on crop conditions, such as soil moisture, temperature, and weather conditions. Using artificial intelligence techniques, the system should be able to optimize the allocation of tasks between the different devices in the network, manage resources efficiently, and carry out predictive analyses of agricultural production. The system will train machine learning and deep learning models collaboratively through federated learning, using data from different devices without centralizing the information. Based on the data collected and analyzed, the system should predict the production of a given crop, optimize irrigation and fertilizer application, and identify possible crop problems in advance. In short, this project aims to create an innovative solution for agriculture, combining the Internet of Things with artificial intelligence to improve productivity, reduce costs, and promote sustainability.
The general objective of this postdoc fellowship is to develop an intelligent Internet of Things system for precision agriculture that can collect, analyze, and utilize data on crop conditions. The main challenges in this proposal involve:
- To design an intelligent IoT system for precision agriculture.
- To optimize the allocation of tasks and resources within the IoT network using artificial intelligence techniques.
- To perform predictive analyses of agricultural production through machine learning and deep learning models trained collaboratively using federated learning.
- To predict crop production, optimize irrigation and fertilizer application, and identify potential crop problems.
A highly motivated candidate is expected to show background in the following concepts:
- Machine Learning, Deep Learning, Neural Network Architectures, time series and their application to agricultural problems. Federated Learning is a plus
- Data Analytics, Model Evaluation and Deployment
- IoT, cloud, fog, edge, and the computing continuum
- Advanced programming language skills
- Advanced English language skills
- Strong publication record
The candidate must hold a Ph.D. in Computer Science, Electrical Engineering or related areas (less than 7 years since graduation). The fellowship's duration is 30 months, and the monthly stipend is R$12.000,00 plus 10% for research expenses.
The term for this scholarship is expected to start as soon as possible, ideally in April 2025.
Candidates should fill out the online form at:
https://forms.gle/oftX3orZz478Gne17
Deadline: March, 14, 2025
Inquiries can be sent to rbianchi@fei.edu.br
PhD position available @ University of Kentucky. 19/02/2025
PhD position available starting in Fall 2025 at the Computer Science Department of the University of Kentucky.
This is a USDA National Needs Fellowship (NNF) program, applicants must satisfy certain requirements (see below), first of all to be U.S. Citizen or U.S. Nationals, to be admitted.
The topic is AI applied to Agrifood Science and Smart Agriculture.
Please contact Simone Silvestri with your CV and Transcripts if you are interested in this position.
QUALIFICATIONS
Required Credentials
• U.S. citizenship or U.S. National
• First generation student or other categories to be discussed during the interview
• Minimum 3.5 cumulative GPA (on a 4.0 scale)
• A demonstrable interest in computer science and its application to Agrifood science and Smart Agriculture
Preferred Qualifications
• Research experience
• Excellent written and oral communication skills
• Demonstrated success in collaborative research
PostDoc Position at Johannes Kepler University Linz, Austria. 03/02/2025. Fecha límite: 26/03/2025
# University Assistant (must hold a Doctorate/Ph.D. degree) for a Full-time, six-year position
## Organizational unit
LIT Secure and Correct Systems Lab
## Entry date
09/01/2025
## Job Reference Number
151050-2025-001206
## Environment
The research group for "Secure Systems" at the Secure and Correct Systems Lab focuses on security engineering and security economics by applying quantitative methods, particularly in the field of artificial intelligence. We are looking for post-doc level researchers who aim to pursue an academic career. We offer ample opportunities to conduct one's own research and manage projects in different areas of IT security, including - but not limited to - secure machine learning, security decision support systems, protocol design and verification, formal methods and much more. Interdisciplinary approaches, such as combining machine learning with classical security mechanisms to support innovative new security concepts, are particularly welcome.
## Job Duties
- Independently conduct research focusing on one or more of the areas listed under the qualifications, with the objective to earn academic qualifications at habilitation level
- Be actively involved in acquiring projects and externalfunding as well as submitting applications for research funding
- Actively take part supervising students, including classroom teaching and giving examinations
- Provide support to manage the institute's general administration activities
- Actively take part in creating and expanding national and international academic/scientific contacts
- Engage in public relations and knowledge transfer
## Your Qualifications
- The successful candidate must hold a Doctorate/Ph.D. degree in computer science, mathematics, or a related field conferred by a university in Austria or abroad with thematic relevance to one or more of the following fields:
- Applied security (e.g., network security,applied cryptography)
- Game theory for security
- Data Science and artificial intelligence,with applications in security
- Discrete Mathematics
- IT risk management
- Security economics
- Publication experience and -record in one or several ofthe above areas (include sample papers of yours in your application, and point out your specific contribution thereto)
- Research project experience (participation in projects,acquisition or lead of projects, if any)
- Experience in programming (C, C++, etc.) is preferred
- Very good skills language skills in English required (at least B2), and in German (C1) preferred, or the commitment to learn German within the first 2 years of employment
## What We Offer
- On the basis of full-time employment (40 hours/week) the minimum salary in accordance with the collective agreement is € 4,932.90 gross per month (14 x per year, CA Job Grade: B1)
- Stable employer
- Attractive campus environment with good public transportation connections
- Attractive continual educational opportunities
- State-of-the-art research infrastructure
- Dynamic research environment
- Broad range of on-campus dining services/healthy meals (organic food at the cafeteria)
- Exercise and sports classes (USI)
- ...and much more
## Application Deadline
**03/26/2025**
The Johannes Kepler University wishes to increase the proportion of academic female faculty and, for this reason, especially welcomes applications by qualified women. If applicants are equally qualified, a woman will be given preference for this position. The university welcomes applications from qualified applicants with disabilities. These applications will be given special consideration.
## Contact
If you have questions, please contact: Univ. Prof. DI DI Dr. Stefan Rass, P +43 732 2468 545, E-mail: @email.
Exertion place address
Altenberger Straße 69, 4040 Linz
PHD positions of the EU AIGreenbotsproject. 30/01/2025
Subject: EU AIGreenbots PhD Positions
We're searching for PhD Researchers atOnePlanet Research Center !
If you are interested to develop your academic skills and study AI/robotic technologies to deal with pressing challenges in agriculture, this is a great opportunity for you!
Together with other European institutes, we recently got a EU Marie-Curie program funded: AIGreenBots EU Project, with the aim to advance artificial intelligence and robotics for precision agriculture.
There are 11 positions available, two of which are in Wageningen, in collaboration between Wageningen University & Research and OnePlanet Research Center. The positions are under supervision of Gert Kootstra and Bas Boom.
Eligibility: EU or EU-eligible citizens
We are looking for:
1. PhD Researcher: Learning transferable skills for agriculture robots
Apply here> https://urldefense.com/v3/__https://lnkd.in/dbtY8hh5__;!!D9dNQwwGXtA!RBgDHZVLpPGbUgK3UM0cPu7wVxwcAf1dldW7N3uQCuDPmfrFN_uD60V0dC12G4JUX_wIR-D-uXZxuLyqss-aklvbPrAXbA$
2. PhD Researcher: Active perception & control with Edge AI
Apply here> https://urldefense.com/v3/__https://lnkd.in/dp55RY3Q__;!!D9dNQwwGXtA!RBgDHZVLpPGbUgK3UM0cPu7wVxwcAf1dldW7N3uQCuDPmfrFN_uD60V0dC12G4JUX_wIR-D-uXZxuLyqss-aklstL8lqoQ$
For other PhD Positions with AIGreenbots:
https://urldefense.com/v3/__https://aigreenbots.eu/recruitment/open-positions__;!!D9dNQwwGXtA!RBgDHZVLpPGbUgK3UM0cPu7wVxwcAf1dldW7N3uQCuDPmfrFN_uD60V0dC12G4JUX_wIR-D-uXZxuLyqss-aklvZA7gn7Q$
Contact: @email
Fully-Funded PhD Positions in IoT and Edge AI, University of Vienna, Austria. 20/01/2025
We have two open PhD positions (University assistant predoctoral) at the Faculty of Computer Science, University of Vienna. The topics of interest include Edge Computing, Edge AI, Federated Learning, Internet of Things, and Sensor Networks.
Position 1 (Focus: Edge AI, deadline: Jan 26): https://jobs.univie.ac.at/job/University-assistant-predoctoral/1152589701/
Position 2 (Focus: IoT, deadline Feb 9): https://jobs.univie.ac.at/job/University-assistant-predoctoral/1157801801/
Post-Doc Opportunity at Pennsylvania State University. 20/01/2025
The position focuses on the intersection of artificial intelligence and animal science for precision animal agriculture. The work involves developing advanced AI-enabled systems based on computer vision to monitor livestock phenotypes to improve animal health and productivity.
While the role is primarily research-based and data intense, there may be minimal farm work involved for ground truth data collection and setting up sensor systems at the farm. The perfect candidate may need to be willing to provide some support at the farm, which is conveniently located at a 10-minute walk from the lab.
This is the link for the formal application. Anybody who may want to ask questions is free to reach out to me at @email
15 Positions Postdoctoral Researchers, Ikerbasque Research Fellows 2025. 16/01/2025. Fecha límite: 20/03/2025
- 5-YEAR POSITION: During the last year the researcher can be assessed to obtain a permanent position.
- PHD DEGREE: Between Jan 2014-Dec 2022.
- APPLICATIONS FROM WOMEN: Are especially welcome.
- DEADLINE: March 20th.
For more info, a webinar will be held on 11/02/2025 at 16:00 CET. If you want to join, you can sign in through the following link: Join!