#Postdoc position
Title: Postdoc in Scalable Deep Learning and Reinforcement Learning.

Denoscription: The successful candidate will join the distributed computing group (https://dcatkth.github.io), in which the research is directed towards fundamental aspects of software and computer systems with a focus on distributed computing, decentralized ML, and scalable platforms for data-intensive computing and ML.

In particular, the position is associated with the following sub-topics:
> Decentralized DL/RL: Scale out DL/RL algorithms to support massive experiments with many model parameters.

> Generalization in RL: Develop RL agents that can perform well in new environments, different from the training environments.

> Automated ML: Build automated algorithms to make an end-to-end ML pipeline smartly. In particular, to build algorithms that utilize search optimization methods for selecting pipeline configurations, e.g., to automate feature engineering under model assumptions and computational constraints, or to automate the neural architecture search..

> Dept: Department of Computer Science (CS).
> KTH Royal Institute of Technology, Sweden.
💯Deadline: 15 Jul 2020
🌐 https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:336991/where:4/
🙏Thanks to: Sina
🆔 @PositionClub

4 #PhD Positions

Field: Energy research (engine performance, novel flow batteries, sustainable and smart building design)

> Joint PhD programme at the University of Melbourne, Australia and RWTH Aachen, Getmany.

More info: https://rum.research.unimelb.edu.au/

🆔 @PositionClub

#Postdoc position
Title: Postdoctoral Fellow on Rapid Identification of Antibody-Producing Cells Against Emerging Viral Threats.

Denoscription: juncker.lab.mcgill.ca .

> Mcgill, Canada.
🌐 http://www.mcgill.ca/about/points-pride
🆔 @PositionClub

#Postdoc position
Title: 2 Post Doctoral Research Fellow- Digital Innovation.

Denoscription: The School of Mathematics and Computer Science are
currently leading the ERDF Digital Enterprise
Project which has the remit to engage with SMEs
and conduct collaborative research and innovation
projects in the field of Digital technologies. The
project team will engage in research
collaborations to bring the latest digital
technologies to SME’s across the Advanced
manufacturing and Engineering Sector, including
AI, Robotics, data analytics, cybersecurity,
sensor technologies and immersive technologies.

The School of Mathematics and Computer Science at
University of Wolverhampton seeks to appoint Post
doc research Fellows to support this Project. You
will hold a first degree in a relevant discipline
(or equivalent), together with a PhD in Computer
Science (or equivalent) and will have carried out
extensive research in the area at a university,
research institute or in a related part of the
private sector.

> Dept: Faculty of Science and Engineering
> University of Wolverhampton, England.
💯Deadline: 09 Jul 2020
🌐 https://jobs.wlv.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3045&p_web_page_id=420055
🙏Thanks to: IR2UK
🆔 @PositionClub

#PhD position

Field: Variational Methods for Graph Signal Processing and Machine Learning Applied to Graphs

Preferred starting date: September 2020 (3 years program). Available now.

> Skills:

Master degree in (Applied) Mathematics or Computer Science.

Mandatory: competency in at least one programming language, Master-level knowledge in machine learning.

Appreciated: Python and scientific stack associated, basic knowledge of graph theory.

More info: http://samuelvaiter.com/grava/
https://twitter.com/vaiter/status/1271498993655300106?s=19

> Location: Institut de Mathématiques de Bourgogne, Université de Bourgogne, Dijon, France.

🆔 @PositionClub

#PhD position
Title: 6 PhD positions in Computational Mathematics and Decision Science.

Denoscription:
6 scholarships available:

1 scholarship funded by USI;

2 scholarships funded by the Department of Mathematics “F. Casorati” Excellence Grant;

1 scholarship funded by the Department of Mathematics “F. Casorati” and the IMATI –CNR Institute;

1 scholarship funded by the Fondazione Istituto Neurologico Casimiro Mondino) to undertake research in “Statistical and Machine Learning techniques in Neurosciences”;

1 scholarship funded by the University of Pavia reserved to foreign students (i.e. with an undergraduate degree from a foreign university).

Financial Support: admitted students will receive a PhD scholarship of 16238 euro/year and a research budget of 1500 euro/year for the II and III year.

> University of Pavia, Italy.
💯Deadline: 24 Jun 2020
🌐 https://twitter.com/famo2spaghi/status/1271477994822008835
More info : http://wcm-3.unipv.it/site/home/ateneo/bandi-e-concorsi/concorsi-per-personale-docente/ufficio14379.html
🙏Thanks to: Meysam
🆔 @PositionClub

#PhD position
Title: Doctoral student in Advanced Concentrating Solar Power.

>Denoscription: The overall aim of this PhD research project is to develop techno-economic models and market-oriented tools in the analysis of advanced CSP employing supercritical CO2 cycles. Research questions focus on quantifying component-level attributes (including materials compatibility issues) and their integration in dynamic system models. The research will be performed in close collaboration with leading EU industrial and research actors.

> KTH Royal Institute of Technology, Sweden.
💯Deadline: 02 Jul 2020
🌐 https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:338981/where:4/
🆔 @PositionClub

#PhD position
Title: PhD Position Dynamic Semantics Specification.

>Denoscription: We are looking for a versatile candidate who can contribute to the development of theoretical foundations, design of meta-languages, implementation and integration of languages and libraries in the language workbench, and evaluate the new techniques in language design case studies.

> Delft University of Technology (TU Delft), Netherlands.
💯Deadline: 02 Sep 2020
🌐 https://euraxess.ec.europa.eu/jobs/531652?utm_source=jooble&utm_medium=cpc&utm_campaign=jooble
🆔 @PositionClub

#PhD position
Title: PhD in organic chemistry.
(H2020 / Marie Skłodowska-Curie) >Denoscription: This project will focus on the design and synthesis of selective and potent inhibitor(s) of the IspE and IspF enzymes of the MEP pathway. The project will embrace two perspectives: optimization of already identified promising compounds with antiparasitic activity and the optimization and/or fragment growing of novel and unreported chemical structures. Optimization will take into account biological data, SAR and structural data, undesired features, as well as physicochemical parameters such as aqueous solubility, LogP, logD. Furthermore, freedom to operate is taken into account which is essential for the development of new therapeutics.

> Helmholtz Institute for Pharmaceutical Research Saarland, Netherlands.
💯Deadline: 03 Jul 2020
🌐 https://euraxess.ec.europa.eu/jobs/531568?utm_source=jooble&utm_medium=cpc&utm_campaign=jooble
🆔 @PositionClub

#PhD position
Title: PhD in Network Security.

> Denoscription: looking for a PhD student (3-year fully-funded PhD scholarship) in security and privacy in SDN and/or Cloud/Fog Data centre to work in the 5GIC.

Please read the qualification criteria in the link. This is an urgent position.

> University of Surrey, England.
💯Deadline: ❗️ASAP
🌐 https://www.linkedin.com/feed/update/urn:li:activity:6677307006749024256/
🙏Thanks to: IR2UK
🆔 @PositionClub

#PhD #Postdoc position
Title: Representation Learning for Planning (RLeap).

> Denoscription: Data-based learners, like those based on deep learning, are popular because there is plenty of data available, yet they produce black boxes that lack the flexibility, transparency, and guarantees of model-based systems. Building models by hand, on the other hand, it is just too hard.

By showing how to learn meaningful, symbolic models form raw perceptions, the research is aimed at integrating the benefits of data-based learners and model-based solvers in the context of planning, where representations play a key role in expressing, communicating, achieving, and recognizing goals. First-order symbolic representations refer to the representations based on objects and their relations.

The problem of representation learning for planning is largely unsolved. Two characteristics of deep reinforcement learning, one of the main approaches for learning how to act, are its ability to deal with high dimensional perceptual spaces without requiring any prior knowledge, combined with its inability to produce and re-use such knowledge. The construction of reusable knowledge (transfer learning) is a central concern in (deep) reinforcement learning, but the semantic and conceptual gap between the low level techniques that are used, and the high-level representations that are required, is just too large.

For addressing this challenge, new ideas and methods are required that will build on those of relevant areas that include planning, learning, knowledge representation, and combinatorial optimization. The approach to be the interpretations (grounding) of those representations, and it involves a number of subproblems like:

- learning  symbolic representations and their interpretation from raw perceptions (e.g., images)
- learning hierarchical symbolic representations to enable planning at different levels of abstraction:
- learning representations to explore, plan, and obtain and express general plans
- learning structure from suitable combinations of SAT and gradient-based methods
- understanding role of attention and partial observability in learning, grounding, and skill composition
- understanding the theoretical properties of representations and their relations to planning width.


> Dept: Artificial Intelligence and Machine Learning Research group
> Universitate Pompeu Fabra (UPF), Barcelona, Spain.
💯Deadline: 10 Jul 2020
🌐 https://www.dtic.upf.edu/~hgeffner/rleap.html

🆔 @PositionClub

#PhD position
Title: several PhD position @ UniSalento.

> Denoscription: Research topics includes (PhD in Engineering of complex systems, see attachment F, and Material, Structure and Nanotechnology engineering, see attachment E):

- Soft robotics and microbots
- Tribology of smart materials
- Polymers friction
- Tribology of tissue/machine interfaces
- Wearable and implantable nanotechnological devices
- Water-fog harvesting
- Augmented tactile friction
- Mechanisms for space applications
- Smart mobility

both theory and experiments.

❗️Please note these positions are part of the competitive selection procedure for admission to the 36th cycle #PhD Research Course with administrative seat at UniSalento.

> Dept: University of Salento
> University of Salento, Italy.
💯Deadline: 12 Jul 2020
🌐 https://www.unisalento.it/didattica/dottorati
🙏Thanks to: Hamid
🆔 @PositionClub

#PhD position
Title: Several PhD position related to AI @ TU Delft

> Denoscription: TU Delft is setting up eight new AI Labs to investigate how artificial intelligence (AI) can accelerate scientific progress.

The first eight TU Delft AI Labs:

3DUU - 3D Urban Understanding
AidroLab - Artificial intelligence research in water management
CTAI-Lab - CiTy AI Lab
DeTAIL - Delft Tensor AI Lab
DI_Lab - Designing Intelligence Lab
IRIS - Intelligent & Reliable Imaging Systems
MACHINA - Machine Intelligence Advances for Materials
AI*MAN-lab - Transparent & Traceable AI in Human-AI Teamwork

Recruitment for the first eight TU Delft AI Labs will start on 2 June. The first vacancies for the TU Delft AI Labs can be found via the TU Delft Jobs portal..

I just quickly checked a couple of labs and currently, MACHINA & AI*MAN-lab are recruiting. If you are keen, be alert on the university job portal and keep an eye out there.

> Delft University of Technology (TU Delft), Netherlands.
🌐 https://www.tudelft.nl/en/2020/tu-delft/tu-delft-launches-first-eight-tu-delft-ai-labs/
🙏Thanks to: Hamid
🆔 @PositionClub

#PhD position

Field: Learning Analytics and Educational Data Mining

> Dept: Behavioural, Management and Social sciences

> University of Twente, Netherland

💯 Deadline: June 30,2020

🌐https://academicpositions.com/ad/university-of-twente/2020/phd-position-on-learning-analytics-and-educational-data-mining/145538

🆔 @PositionClub

#Research position

Field: How future perspectives evolve during the COVID-19 crisis:

Your profile You hold a MSc degree in psychology, sociology, anthropology or a similar social science discipline; You have experience in qualitative and quantitative research, ideally some experience in utilizing data collection software TIIM (The Incredible Intervention Machine) and/or Qualtrics; You have experience with qualitative analysis software Atlas.ti, SPSS and/or R; You have good research skills; You are fluent in Dutch and English, and preferably also in at least one other language; You have excellent communication, presentation and collaboration skills; You are eager to learn more about interdisciplinary teamwork.

> Dept: Psychology, Health, and Technology (PHT)

> University of Twente, Netherland

💯 Deadline: June 19,2020

🌐 https://academicpositions.com/ad/university-of-twente/2020/research-assistant/145409

🆔 @PositionClub

#PhD #Postdoc position
Title: Positions available @ Accelerated Materials Development in Flow.

> Denoscription: We currently have two openings for highly motivated graduate students in the field of flow chemistry with a focus on continuous nano-manufacturing of next generation of light-harvesting nanomaterials.

We currently have 2 postdoc openings with an immediate start date:
(1) Postdoctoral Position in Microfluidic Synthesis of Quantum Dots
(2) Postdoctoral Position in Flow Chemistry-Enabled Studies of Oxo Synthesis.

> North Carolina State University, United States.
🌐 https://www.abolhasanilab.com/openings
🙏Thanks to: Nila
🆔 @PositionClub

#PhD position
Title: 21 positions -ICIQ PhD Fellowship Programme 2020 – Second Call.

> Denoscription: Project: Carbyne Transfer Catalysis in Organic Synthesis.
Project: The Role of Coherence in Enhancing the Efficiency of Light Harvesting and Charge Separation in Photosynthesis
Project: Design, Construction, and Investigation of Chromophore-Protein Assemblies able to perform Ultrafast Energy and Electron Transfer Processes
Project: Carbon nanostructures for CO2 (photo)electrocatalysis.
Project: Nanomaterials with long-lived luminescence for bionano applications in medical research.
Project: Catalytic decarboxylative cross-coupling reactions
Project: Machine learning for materials in Catalysis and Energy
Project: Light Driven Molecular Redox Catalysis
Project: Catalyst Design for the Selective Activation of Unsaturated Substrates
Project: Supramolecular approaches to catalysis and sensing

> Institute of Chemical Research of Catalonia (ICIQ), Spain.
💯Deadline: 12 Jul 2020
🌐 https://www.nature.com/naturecareers/job/21-positions-iciq-phd-fellowship-programme-2020-second-call-institute-of-chemical-research-of-catalonia-iciq-bist-726710
🙏Thanks to: Nila
🆔 @PositionClub